RU2820013C2 - Device, system and method for determining one or more parameters of refractive anomaly of eye being examined - Google Patents

Abstract

FIELD: medicine.

SUBSTANCE: group of inventions relates to medicine, namely to determination of one or more parameters of refractive anomaly of the examined eye. Disclosed is a device for implementing the method, comprising a tangible computer-readable non-transitory storage medium, wherein the device is configured to: process information on constructing a depth map of the examined eye, wherein the examined eye includes a retina and a lens having a focal distance, wherein the processing of the depth mapping information includes identifying a distance difference defined by the difference between the focal distance and the distance from the lens to the retina; and determine one or more parameters of the refractive anomaly of the examined eye based on said difference in distances of the examined eye.

EFFECT: group of inventions provides determination of one or more parameters of a refractive anomaly of the analysed eye.

40 cl, 11 dwg

Description

CROSS REFERENCE TO RELATED APPLICATION

[001] This application claims benefit and priority to U.S. Provisional Patent Application No. 62/796,240 entitled "DEVICE, SYSTEM AND METHOD FOR DETERMINING ONE OR MORE REFRACTIVE ANOMALY PARAMETERS OF A TEST EYE", filed January 24, 2019, the full disclosure of which is incorporated by reference. to this document.

TECHNICAL FIELD

[002] The embodiments described herein generally relate to determining one or more refractive error parameters of the eye being examined.

BACKGROUND OF THE ART

[003] Refractive error (also called "refractive error") is a problem in accurately focusing light on the retina of the eye, caused, for example, by the shape of the eye.

[004] The most common types of refractive error are nearsightedness, farsightedness and astigmatism.

[005] Refractive errors can be corrected with glasses, contact lenses, or surgery.

[006] An examination of the patient's eyes may be performed by an eyeglass prescriber, such as an optometrist or ophthalmologist, to determine one or more parameters of eyeglasses and/or contact lenses for the manufacture and/or dispensing of corrective lenses appropriate for the patient.

BRIEF DESCRIPTION OF THE DRAWINGS

[007] For simplicity and clarity of illustration, elements shown in the drawings are not necessarily drawn to scale. For example, some of the elements may be larger in size relative to other elements to make them appear clearer. In addition, reference numbers may be repeated throughout the drawings to indicate corresponding or similar elements. The accompanying drawings are listed below.

[008] FIG. 1 schematically shows a functional diagram of a system in accordance with some exemplary embodiments.

[009] FIG. 2 schematically shows three eye models that can be implemented according to some exemplary embodiments.

[0010] FIG. 3A, 3B and 3C schematically show three corresponding measurement schemes according to some exemplary embodiments.

[0011] FIG. 4 schematically shows an ellipse of rotations according to some exemplary embodiments.

[0012] FIG. 5 schematically shows a multi-axis depth mapper that may be implemented according to some exemplary embodiments.

[0013] FIG. 6 schematically shows an image of a subject eye, a first subject eye depth map, and a second subject eye depth map, according to some exemplary embodiments.

[0014] FIG. 7 schematically shows two images of a template that can be used in measurement according to some exemplary embodiments.

[0015] FIG. 8 is a schematic flow diagram of a method for determining one or more refractive error parameters of a subject eye, according to some exemplary embodiments.

[0016] FIG. 9 schematically shows a product according to some exemplary embodiments.

IMPLEMENTATION OF THE INVENTION

[0017] In the following detailed description, various specific details are set forth in order to provide a thorough understanding of certain embodiments. However, one skilled in the art will appreciate that some implementations may be accomplished without these specific details. In yet other embodiments, known methods, procedures, components, blocks, and/or circuits are not described in detail so as to not obscure understanding.

[0018] Portions of the following detailed description are presented in the form of algorithms and symbols for operations on data bits or binary digital signals in computer memory. These algorithmic descriptions and representations can be technologies used by data scientists to convey the essence of their work to other experts.

[0019] The algorithm in this case and in general is considered as a self-consistent sequence of actions or operations leading to the desired result. It involves physical manipulation of physical quantities. Typically, but not necessarily, these quantities take the form of electrical or magnetic signals configured to be stored, transmitted, combined, compared, and otherwise manipulated. Sometimes, primarily for reasons of general usage, it is found convenient to refer to these signals as bits, values, elements, symbols, signs, terms, numbers, or the like. However, of course, all these and similar terms must be associated with corresponding physical quantities and are simply convenient labels applicable to these quantities.

[0020] As used in the descriptions herein, terms such as, for example, “process,” “computer calculation,” “calculate,” “determine,” “determine,” “analyze,” “verify,” or the like may refer to the operation(s) and/or process(es) performed using a computer, computing platform, computing system, or other electronic computing device that manipulates data and/or transforms data represented as physical (e.g., electronic ) quantities in registers and/or storage devices of a computer, into other data similarly represented as physical quantities in registers and/or storage devices of a computer or other information storage medium in which instructions for performing operations and/or processes can be stored.

[0021] The terms "multiple" and "one plurality" as used herein include, for example, "multiple" or "two or more". For example, the term "multiple items" includes two or more items.

[0022] References to “one embodiment,” “an embodiment,” “an exemplary embodiment,” “various embodiments,” and the like. indicate that an embodiment or embodiments so described may include a particular feature, structure, or characteristic, but not every embodiment necessarily includes that particular feature, structure, or characteristic. Moreover, repeated use of the expression “according to one embodiment” does not necessarily refer to the same embodiment, although this may also be the case.

[0023] The use herein, unless otherwise noted, of ordinal adjectives such as "first", "second", "third", etc. to describe a common entity simply indicates that reference is being made to different instances similar objects, and it should not be implied that the objects so described must be arranged in a given sequence, whether that sequence is temporal, spatial, classificatory, or otherwise determined.

[0024] Some implementations, for example, may take the form of an all-hardware implementation, an all-software implementation, or an implementation that includes elements of both hardware and software. Some embodiments may be in the form of software, which includes, but is not limited to, firmware, persistent software, microcode, or the like.

[0025] In addition, some embodiments may take the form of a computer program product extracted from a computer usable or computer readable medium providing program code for use by or in connection with a computer or any system for executing instructions. For example, a computer-usable or computer-readable medium may be any device or may include any device that can contain, store, communicate, distribute, or transmit a program for use by a system, apparatus, or device to execute instructions or in connection with a system, apparatus, or device. to carry out instructions.

[0026] In some exemplary embodiments, the medium may be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system (or apparatus or device) or distribution medium. Some exemplary computer-readable media may include semiconductor or solid-state memory, magnetic tape, removable computer floppy disk, random access memory (RAM), read-only memory (ROM), flash memory, hard disk, and optical disk. . Some exemplary optical disc embodiments include compact disc read-only (CD-ROM), compact disc read-write (CD-R/W) and DVD.

[0027] In some exemplary embodiments, a data processing system suitable for storing and/or executing program code may include at least one processor coupled directly or indirectly to storage elements, such as via a system bus. The storage elements may include, for example, local storage used during actual execution of the program code, bulk storage, and cache memory that provides temporary storage of at least some of the program code to reduce the number of code retrievals from the storage device. for data arrays during its execution.

[0028] In some exemplary embodiments, an input/output device (including, but not limited to, a keyboard, display devices, pointing devices, and the like) may be coupled to the system either directly or through intermediate input/output controllers. In some exemplary embodiments, network adapters may be associated with a system to enable the data processing system to communicate with other data systems or with remote printers or storage devices, for example, over private or public networks. In some exemplary embodiments, modems, cable modems, and Ethernet communication cards may serve as examples of network adapter types. Other suitable components may also be used.

[0029] Some implementations may include one or more wired or wireless communication channels, may use one or more wireless communication components, may use one or more wireless communication methods or protocols, or the like. In some embodiments, wired communications and/or wireless communications may be used.

[0030] Some embodiments may be used in conjunction with various devices and systems, for example, a mobile phone, a smartphone, a mobile computer, a laptop computer, a notebook computer, a tablet computer, a laptop computer, a portable device, a personal digital assistant (PDA), a portable PDA device, a mobile or portable device, a non-mobile or non-portable device, a cellular telephone, a cordless telephone, a device having one or more internal antennas and/or external antennas, a wireless portable device or the like.

[0031] In FIG. 1 is a schematic diagram of a functional diagram of a system 100 according to some exemplary embodiments.

[0032] As shown in FIG. 1, system 100, according to some exemplary embodiments, may include a computing device 102.

[0033] In some exemplary embodiments, device 102 may be implemented using suitable hardware components and/or software components, such as processors, controllers, storage devices, storage devices, input devices, output devices, communications devices, operating systems, applications or the like.

[0034] According to some exemplary embodiments, device 102 may include, for example, a computing device, a mobile device, a mobile phone, a smartphone, a cell phone, a laptop, a mobile computer, a notebook computer, a notebook computer, a tablet computer, a laptop computer, a portable device, PDA device, portable PDA device, wireless communication device or the like.

[0035] According to some exemplary embodiments, device 102 may include, for example, one or more processors 191, input devices 192, output devices 193, storage devices 194, and/or storage devices 195. Device 102 may optionally include including other suitable hardware components and/or software components. In some exemplary embodiments, some or all of the components of one or more devices 102 may be housed in a common housing or unit and may be connected or operably coupled using one or more wired or wireless communication channels. In yet other embodiments, components of one or more devices 102 may be distributed among multiple devices or individual devices.

[0036] According to some exemplary embodiments, processor 191 may include, for example, a central processing unit (CPU), a digital signal processor (DSP), one or more processor cores, a single-core processor, a dual-core processor, a multi-core processor, a microprocessor, a host - a processor, a controller, a plurality of processors or controllers, a chip, a microchip, one or more circuits, electronic circuits, a logic device, an integrated circuit (IC), an application-specific integrated circuit (ASIC), or any other suitable multi-purpose or application-specific processor or controller. The processor 191 may execute instructions from, for example, the operating system (OS) of the device 102 and/or one or more suitable applications.

[0037] In some exemplary embodiments, input device 192 may include, for example, a keyboard, keypad, mouse, touch screen, trackpad, trackball, stylus, microphone, or other suitable pointing device. or data input device. The output device 193 may include, for example, a monitor, a screen, a touch screen, a display panel, a light-emitting diode (LED) display device, a liquid crystal display (LCD) display device, a plasma display device, one or more speakers, or headphones, or other suitable output devices.

[0038] In some exemplary embodiments, storage device 194 includes, for example, random access memory (RAM), read-only memory (ROM), dynamic RAM (dynamic random access memory (DRRAM)), synchronous dynamic RAM (synchronous DRAM), flash memory, short-term memory, non-short-term memory, cache memory, buffer memory, short-term memory, long-term memory, or other suitable memory devices. The data storage device 195 may include, for example, a hard disk drive, a solid state drive (SSD), or other suitable removable or non-removable data storage devices. Memory device 194 and/or data storage device 195, for example, may store data processed by device 102.

[0039] According to some exemplary embodiments, device 102 may be configured to communicate with one or more other devices via wireless and/or wired network 103.

[0040] In some exemplary embodiments, network 103 may include a wired network, a local area network (LAN), a wireless local area network (WLAN), a radio network, a cellular network, a WiFi network, a wireless network, operating in the infrared wavelength range, a wireless network using the Bluetooth protocol, and the like.

[0041] In some exemplary embodiments, device 102 may enable one or more users to interact with one or more processes, applications, and/or blocks of device 102, for example, as described herein.

[0042] According to some exemplary embodiments, apparatus 102 may be configured to perform and/or execute one or more operations, modules, processes, procedures, and/or the like.

[0043] In some exemplary embodiments, device 102 may be configured to determine one or more parameters of refractive error (also referred to as “refractive error”) of an eye being examined, such as a user and/or a patient, for example, as described below.

[0044] In some exemplary embodiments, the refractive error may include a problem in the eye being examined, for example, in accurately focusing light on the retina of the eye being examined, caused, for example, by the shape of the eye being examined.

[0045] In some exemplary embodiments, the refractive error may include, for example, nearsightedness (also called “myopia”), farsightedness (also called “hyperopia”), and/or astigmatism.

[0046] In one embodiment, the refractive error of the test eye can be corrected by using an ophthalmic lens for the test eye or by surgery.

[0047] For example, an ophthalmic lens may include a lens configured to improve vision.

[0048] In one embodiment, the eye lens may be assembled into glasses or configured to be assembled into glasses, for example, for a patient, a user of device 102, and/or any other user.

[0049] In yet another embodiment, the ophthalmic lens may include a contact lens, an intraocular lens, a goggle lens, and the like.

[0050] In yet another embodiment, the ophthalmic lens may include any other optical lens, such as a physician-prescribed lens or any other lens capable of enhancing vision.

[0051] In some exemplary embodiments, an eye examination may be performed by an eyeglass prescriber, such as an optometrist or ophthalmologist, for example, to determine one or more optical parameters of an eye lens, for example, to manufacture and/or dispense a corrective lens, for example suitable for the patient.

[0052] In some exemplary embodiments, one or more optical parameters of the correction lens may include sphere power, cylinder power, cylinder axis of the correction lens, and/or any other parameter of the correction lens.

[0053] In some exemplary embodiments, the degree of myopia or hyperopia may be correlated, for example, with the difference in distance between the focal length of the lens of the test eye and the retina of the test eye, for example, as described below.

[0054] In FIG. 2 schematically illustrates three eye models that can be implemented according to some exemplary embodiments.

[0055] In some exemplary embodiments, the three eye models may use a single eye model, such as a simplified eye model including, for example, a lens 202 and a retina 204, which may replace some or all of the eye's optical elements.

[0056] According to some exemplary embodiments, as shown in FIG. 2, light rays 207 directed at lens 202 may converge to a point 209, such as a spot, for example, that corresponds to the focal length of lens 202.

[0057] For example, the light beams 207 may be provided by a light source that is located at infinity, such as on the optical axis of the lens 202, such as perpendicular to the cornea of the eye being examined.

[0058] In some exemplary embodiments, point 209 may be at a focal length 213, designated f', from lens 202.

[0059] In some exemplary embodiments, the first eye model 200 may illustrate normal vision, for example, as described below.

[0060] In some exemplary embodiments according to the eye model 200, for example, the distance 203, designated L', between the lens 202 and the retina 204 may be equal to the focal length 213. For example, the difference between the focal length 213 and the distance 203 may be equal to zero.

[0061] In some exemplary embodiments, the second eye model 210 may illustrate an eye having nearsightedness or myopia, for example, as described below.

[0062] In some exemplary embodiments of the eye model 210, for example, the distance 212 between the lens 202 and the retina 204 may be greater than the focal length 213, which may result in myopia or myopia. For example, between focal length 213 and distance 212 there may be a distance difference 215, referred to as ΔL.

[0063] In some exemplary embodiments, the third eye model 220 may illustrate an eye having hyperopia or hyperopia, for example, as described below.

[0064] In some exemplary embodiments of the eye model 220, for example, the distance 222 between the lens 202 and the retina 204 may be shorter than the focal length 213, which may result in farsightedness or hyperopic vision. For example, between the focal length 213 of the lens 202 and the distance 222 there may be a distance difference 225, denoted ΔL.

[0065] As shown in FIG. 1, according to some exemplary embodiments, the system 100 may be configured to determine one or more refractive error parameters of the eye being examined, for example, even without the use of any optical aids, for example, as described below.

[0066] In one embodiment, the system 100 may be configured to determine one or more refractive error parameters of the eye being examined, for example, even without the use of a retinoscope, automated refractor, and/or any other ancillary mechanism or elements.

[0067] In some exemplary embodiments, the one or more refractive error parameters of the eye being examined may include a correction factor for correction of myopia, hyperopia, and/or a plurality of correction factors for correction of astigmatism, for example, as described below.

[0068] In some exemplary embodiments, system 100 may include at least one means, module, controller, and/or application 160 configured to determine one or more refractive error parameters of the eye being examined, for example, as described below.

[0069] In some exemplary embodiments, application 160 may include an autorefractor or an automated refractor and/or may perform the functions of such devices, for example, configured to analyze the refractive error of the eye being examined, for example, as described below.

[0070] According to some exemplary embodiments, application 160 may include or be implemented by software, a program module, application, program, routine, instructions, instruction set, computational code, words, values, symbols, and the like. in the form of the above.

[0071] In some exemplary embodiments, application 160 may include a local application that is executed by device 102. For example, memory 194 and/or data storage device 195 may store instructions that enable application 160 to be executed, and/or or processor 191 may be configured to execute instructions that enable application 160 to execute and/or perform one or more calculations and/or processes of application 160, for example, as described below.

[0072] In yet other embodiments, application 160 may include a remote application that can be executed by any suitable computing system, such as server 170.

[0073] In some exemplary embodiments, server 170 may include at least a remote server, an Internet-accessible server, a cloud server, and/or any other server.

[0074] According to some exemplary embodiments, the server 170 may include a suitable memory and/or data storage device 174 that stores instructions that enable the application 160 to operate, and a suitable processor 171 for executing those instructions, such as described below.

[0075] In some exemplary embodiments, application 160 may include a combination of a remote application and a local application.

[0076] In one exemplary embodiment, application 160 may be downloaded and/or received by a user of device 102 from another computing system, such as server 170, such that application 160 may be executed locally by users of device 102. For example, instructions may be received and stored, for example, temporarily in a storage device or any suitable short-term or buffer memory of the device 102, for example, until they are executed by the processor 191 of the device 102.

[0077] In yet another embodiment, application 160 may include a front-end interface executed locally by device 102 and a back-end interface executed by server 170. For example, the front-end interface may include a local application, a web application, a website, a web - a client, for example, a web application in hypertext markup language (HTML) or the like, and/or may be implemented as the above.

[0078] For example, one or more first operations of determining one or more refractive error parameters of the subject eye may be performed locally, for example, by device 102, and/or one or more second operations of determining one or more refractive error parameters of the subject eye may be performed remotely in a manner, for example, by server 170, for example as described below.

[0079] In yet other embodiments, application 160 may include any other suitable computing device and/or circuitry.

[0080] According to some exemplary embodiments, the system 100 may include an interface 110, such as a user interface, to provide interaction between a user of the device 102 and one or more elements of the system 100, such as an application 160.

[0081] In some exemplary embodiments, interface 110 may be implemented using any suitable hardware components and/or software components, such as processors, controllers, memories, storage devices, input devices, output devices, communications devices, operating systems and/or applications.

[0082] In some embodiments, interface 110 may be implemented as part of any suitable module, system, device, or component of system 100.

[0083] In yet other embodiments, interface 110 may be implemented as a separate element of system 100.

[0084] According to some exemplary embodiments, interface 110 may be implemented as part of device 102. For example, interface 110 may be coupled to and/or included in device 102 as part of device 102.

[0085] In one embodiment, interface 110 may be implemented, for example, as firmware and/or as part of any suitable application of device 102. For example, interface 110 may be implemented as part of application 160 and/or as part of the OS of device 102.

[0086] In some exemplary embodiments, interface 110 may be implemented as part of server 170. For example, interface 110 may be coupled to and/or included in server 170 as part of server 170.

[0087] In one embodiment, interface 110 may include an Internet-accessible application, website, web page, plug-in, ActiveX control, rich content component, such as a Flash or Shockwave component, or the like, or may be part of the above.

[0088] According to some exemplary embodiments, interface 110 may be associated with, for example, a gateway (GW) 112 and/or an application programming interface (API) 114 and/or may include a gateway (GW) 112 and/or interface 114 application programming API (API), for example, to transfer information and/or exchange data between elements of the system 100 and/or one or more other elements, such as internal or external elements, parts, users, applications and/or systems.

[0089] In some embodiments, interface 110 may include any suitable graphical user interface (GUI) 116 and/or any other suitable interface.

[0090] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on depth mapping information of the subject eye, for example, as described below.

[0091] In some exemplary embodiments, device 102 may include depth information capturing device 118 or any other device or system configured to capture, create, and/or determine depth mapping information of an environment.

[0092] In one embodiment, application 160 may be configured to determine one or more refractive error parameters of a subject eye locally, for example, if application 160 is implemented locally by device 102. In this embodiment, device 118 for capturing depth information may be configured to generate depth map information, and application 160 may be configured to receive depth map information, such as from depth information capture device 118, and determine one or more refractive error parameters of the eye being examined, such as described below.

[0093] In yet another embodiment, application 160 may be configured to determine one or more refractive error parameters of the eye being examined remotely, for example, if application 160 is implemented by server 170, or if the internal interface of application 160 is implemented by server 170, for example, while while the front end of the application 160 is implemented by the device 102. According to this embodiment, the depth information capturing device 118 may be configured to generate depth map construction information; the external interface of the application 160 may be configured to receive information about the construction of a depth map; and the server 170 and/or the back-end interface of the application 160 may be configured to determine one or more refractive error parameters of the eye being examined, for example, based on information received from the front-end interface of the application 160.

[0094] In one embodiment, device 102 and/or application front end 160 may be configured to communicate depth map information and optionally additional information, such as described below, to server 170, such as via network 103; and/or the server 170 and/or the internal interface of the application 160 may be configured to receive depth mapping information and determine one or more refractive error parameters of the eye being examined, for example, based on said depth mapping information received from device 102.

[0095] In some exemplary embodiments, the depth map construction information may include at least one depth map, for example, as described below.

[0096] In some exemplary embodiments, the depth map information may include information about one or more captured images, such as red-green-blue (RGB) image information and/or any other type of image information, for example, as described below.

[0097] In another embodiment, the depth map generation information may include any other additional or alternative information that may be useful for creating the depth map.

[0098] According to some exemplary embodiments, the depth information capturing device 118 may include a depth mapper configured to provide a depth map of the environment, for example, as described below.

[0099] In one embodiment, the depth map generation information may include at least one depth map, for example, from a depth mapper.

[00100] In some exemplary embodiments, a depth mapper may include an illuminator or projector and a depth sensor.

[00101] According to some exemplary embodiments, the depth information capturing device 118 may include a structured lighting system, for example, including a structured light projector for projecting the light structure and a camera for capturing the light structure.

[00102] In some exemplary embodiments, the depth information capturing device 118 may include a stereo structured light camera, for example, including a structured light projector for projecting a light structure and dual cameras.

[00103] In some exemplary embodiments, the depth information capturing device 118 may include an infrared (IR) source and an IR sensor, such as in a structured lighting system.

[00104] According to some exemplary embodiments, the depth information capturing device 118 may include a Time of Flight (ToF) depth sensor that may be configured to determine depth mapping information in accordance with the time of flight measurement. , for example, as described below.

[00105] In yet other embodiments, the depth information capturing device 118 may include any other device or system configured to create a depth map of the environment.

[00106] In some exemplary embodiments, the depth information capturing device 118 may include a multiple camera device, for example, as described below.

[00107] In one embodiment, depth information capturing device 118 may provide depth mapping information including image information, for example, from a multi-camera device.

[00108] According to some exemplary embodiments, the depth information capturing device 118 may include a multi-camera device, such as including two or more cameras, such as a dual camera, a stereo camera, multiple cameras, or any other multi-camera system. .

[00109] In one embodiment, the depth information capturing device 118 may be configured to capture and generate multiple images from a plurality of respective cameras. For example, depth information capturing device 118 may capture a first image with a first camera and a second image with a second camera. According to this embodiment, the application 160 and/or the device 118 for capturing depth information may be configured to determine a depth map, for example, based on the first and second images, for example, using algorithms, methods and/or the like for image processing .

[00110] According to some exemplary embodiments, the depth information capturing device 118 may include a multi-axis depth mapping system, for example, including a plurality of depth mappers, for example, as described below.

[00111] According to some exemplary embodiments, the depth information capturing device 118 may include a multi-axis multi-camera system, for example, including a plurality of multi-camera devices, for example, as described below.

[00112] In some exemplary embodiments, depth information capturing device 118 may include any other additional or alternative sensors, elements, and/or components that may be configured to generate depth mapping information of an environment.

[00113] In one embodiment, one or more of the calculations described herein may be suitable for implementation with a variety of different types of depth information capturing devices 118. For example, one or more calculations may be configured and/or tuned for these different types, for example, based on the wavelength of infrared radiation and/or the spectrum of visible light.

[00114] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, e.g., based on depth mapping information captured by depth information capture device 118, e.g., when the device 118 for capturing depth information is facing or directed towards the eye being examined, for example, similar to taking a “selfie” photograph, to capture information about the construction of a depth map of the eye being examined.

[00115] In one embodiment, the creation of depth map information by the depth information capture device 118 may be based on the disparity of a point captured or projected from different coordinates, such as in the real world.

[00116] According to some exemplary embodiments, application 160 may be configured to use depth information and/or depth data of the eye being examined, e.g., captured by depth information capture device 118, e.g., to determine one or more refractive parameters. abnormalities of the eye being examined, for example as described below.

[00117] According to some exemplary embodiments, application 160 may be configured to process depth mapping information captured by depth information capture device 118, for example, to detect and/or identify depth information of a subject eye, such as described below.

[00118] In some exemplary embodiments, application 160 may be configured to process depth mapping information to identify depth information of a subject eye, for example, as described below.

[00119] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on depth information of the subject eye, for example, as described below.

[00120] In some exemplary embodiments, the refractive error may include, for example, myopia, hyperopia, astigmatism including cylinder power and/or cylinder axis, and/or any other refractive error, for example, as described below.

[00121] In some exemplary embodiments, the one or more refractive error parameters of the test eye may include, for example, a power correction factor to correct the power of the lens of the test eye, for example, as described below.

[00122] In some exemplary embodiments, the depth map generation information may include at least one depth map from a depth mapper, such as a depth mapper implemented by depth information capture device 118, such as as described below. .

[00123] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, by processing depth information as depth information from structured light depth measurements obtained, for example , from a depth sensor for structured lighting, implemented by depth information capturing device 118, for example, as described below.

[00124] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye by processing depth information as depth information from a Time of Flight (ToF) measurement, for example, from a Time of Flight (ToF) depth sensor implemented by device 118 for capturing depth information, for example, as described below.

[00125] In some exemplary embodiments, the depth map information may include image information from a multi-camera device, for example, when the depth information capturing device 118 includes a multi-camera device, for example, as described below.

[00126] According to some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, by processing the depth information as depth information from a multi-chamber depth measurement obtained, for example, from a multi-chamber device implemented by depth information capturing device 118, for example, as described below.

[00127] In some exemplary embodiments, application 160 may be configured to determine one or more refractive errors of the eye being examined, for example, based on the depth value of the eye being examined, for example, as described below.

[00128] In some exemplary embodiments, application 160 may be configured to identify, for example, based on depth map information, a depth value captured through the lens of the subject eye, and determine one or more refractive error parameters of the subject eye, for example , based on a specified depth value, for example as described below.

[00129] In some exemplary embodiments, the depth value captured through the lens of the subject eye may include, for example, a depth value corresponding to the retina of the subject eye, for example, as described below.

[00130] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on the distance between the subject eye and the depth information capturing device 118, for example, as described below.

[00131] In some exemplary embodiments, application 160 may be configured to determine the distance between the eye being examined and depth information capturing device 118, for example, based on information about depth mapping information, for example, as described below.

[00132] According to some exemplary embodiments, application 160 may be configured to identify, for example, based on depth map information, a depth value corresponding to a given region of the eye being examined, and determining the distance between the eye being examined and the information capture device 118 about the depth, for example, based on the specified depth value corresponding to the specified specified area, for example, as described below.

[00133] In some exemplary embodiments, the specified target area of the eye being examined may include the sclera of the eye being examined, the opaque area around the pupil of the eye being examined, and/or any other region of the eye being examined, for example, as described below.

[00134] According to some exemplary embodiments, application 160 may be configured to determine the distance between the eye being examined and depth capture device 118, for example, based on position information corresponding to the position of depth capture device 118, for example , as described below.

[00135] In one embodiment, said position information may be obtained, for example, from a position sensor of device 102, such as an accelerometer, inertial measurement device, and/or the like.

[00136] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of the eye being examined, for example, by determining a power correction factor, designated ΔP, for example, as follows:

Where

u’ denotes the depth value, for example, based on information about the construction of a depth map, and

d denotes a distance value, for example, based on the distance between the eye being examined and the depth information capturing device 118, for example, as described below.

[00137] In one embodiment, the depth value u' may include a depth value corresponding to the retina of the subject eye, which may be captured through the lens of the subject eye, for example, as described below.

[00138] In some exemplary embodiments, the distance between the eye being examined and the depth information capturing device 118 may include, for example, a predetermined distance, for example, as described below.

[00139] According to some exemplary embodiments, the application 160 may be configured to cause the user interface 110 to instruct the user of the device 102 to position the depth information capturing device 118 to capture depth mapping information, for example, at a specified distance from the eye being examined. , for example, as described below.

[00140] In one embodiment, the user interface 110 may instruct the user, for example, using guiding instructions that may appear on the screen of a device 102, such as a mobile phone display.

[00141] In another embodiment, the user interface 110 may instruct the user, for example, using voice instructions.

[00142] In yet another embodiment, user interface 110 may instruct the user in any other additional or alternative manner.

[00143] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on first and second different depth values, for example, as described below.

[00144] In some exemplary embodiments, application 160 may be configured to identify a first depth value corresponding to a first region of the eye being examined, for example, based on depth map information, for example, as described below.

[00145] In some exemplary embodiments, application 160 may be configured to identify a second depth value corresponding to a second region of the eye being examined, for example, based on depth map information, for example, as described below.

[00146] In some exemplary embodiments, the first region may include the pupil of the eye being examined, and/or the second region may include an area around the pupil of the eye being examined, for example, as described below.

[00147] In yet other embodiments, the first region and/or the second region may include any other regions.

[00148] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on first and second depth values, for example, as described below.

[00149] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on first and second sets of different depth values, for example, as described below.

[00150] In some exemplary embodiments, application 160 may be configured to identify a first set of depth values corresponding to a first region of the eye being examined, for example, based on depth map information, for example, as described below.

[00151] In some exemplary embodiments, application 160 may be configured to identify a second set of depth values corresponding to a second region of the eye being examined, for example, based on depth map information, for example, as described below.

[00152] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on the first and second sets of depth values, for example, as described below.

[00153] According to some exemplary embodiments, application 160 may be configured to determine a distance value, for example, based on a first set of depth values, for example, as described below.

[00154] In one example, application 160 may determine a distance value d between the subject eye and depth information capture device 118, for example, based on a first set of depth values.

[00155] According to some exemplary embodiments, application 160 may be configured to determine a depth value, for example, based on a second set of depth values, for example, as described below.

[00156] In one embodiment, application 160 may determine a depth value u' corresponding to the retina of the subject eye, which may be captured through the lens of the subject eye, for example, based on a second set of depth values.

[00157] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on a depth value and a distance value, for example, as described below.

[00158] In one embodiment, application 160 may determine one or more refractive error parameters of the eye being examined, for example, based on a distance value d and a depth value u', for example, in accordance with Equation 1, for example, as described above.

[00159] In some exemplary embodiments, depth mapping information may be captured through a mirror, for example, to increase the distance between the eye being examined and the depth information capture device 118, for example, as described below.

[00160] According to some exemplary embodiments, the application 160 may be configured to cause the user interface 110 to instruct the user of the device 102 to place the depth information capturing device 118 facing the mirror, for example, such that the depth map information may be captured by depth information capture device 118 through a mirror, for example, as described below.

[00161] In some exemplary embodiments, the user of device 102 may use an ocular lens for vision, such as a contact lens or a spectacle lens, and accordingly, the depth information may include depth information captured through said ocular lens, for example , as described below.

[00162] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye by processing the depth information as depth information captured through the eye lens, for example, as described below.

[00163] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, by processing the depth information as depth information captured through a spectacle lens at a vertex distance from the subject eye. , for example, when the user wears glasses including an eye lens, for example, as described below.

[00164] According to some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye by processing depth information as depth information captured through a contact lens on the subject eye, such as when a user wears said contact lens, for example as described below.

[00165] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on one or more parameters of an ocular lens, for example, as described below.

[00166] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on depth map generation information including one depth map, for example, as described below.

[00167] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on depth map information including a plurality of different depth map information inputs, for example , as described below.

[00168] According to some exemplary embodiments, application 160 may be configured to process a plurality of different depth mapping information inputs, such as corresponding to a variety of different relative positions between the depth capture device 118 and the subject eye, such as described below.

[00169] In some exemplary embodiments, the plurality of different depth map information inputs may include at least a first depth map information input and a second depth map information input, for example, as described below.

[00170] In some exemplary embodiments, the first input of depth mapping information may be captured at a first relative position, for example, between the depth information capture device 118 and the eye being examined, for example, as described below.

[00171] In some exemplary embodiments, the second depth mapping information input may be captured at a second relative position different from the first position, for example, between the depth information capture device 118 and the eye being examined, for example, as described below.

[00172] According to some exemplary embodiments, the application 160 may be configured to cause the user interface 110 to instruct the user to change the relative positioning between the depth information capture device 118 and the subject eye, for example, to capture the first input of depth mapping information at the first relative position and a second input of information about constructing a depth map at the second relative position, for example, as described below.

[00173] In some exemplary embodiments, said first relative position may include, for example, a first relative distance between the depth information capturing device 118 and the eye being examined, for example, as described below.

[00174] In some exemplary embodiments, said second relative position may include, for example, a second relative distance different from the first relative distance between the depth information capturing device 118 and the eye being examined, for example, as described below.

[00175] In some exemplary embodiments, said first relative position may include a first relative angle between the depth capture meridian and the vertical meridian of the eye being examined, for example, as described below.

[00176] In some exemplary embodiments, said second relative position may include a second relative angle, different from the first relative angle, between the depth capture meridian and the vertical meridian of the eye being examined, for example, as described below.

[00177] In some exemplary embodiments, application 160 may be configured to process a plurality of different depth mapping information inputs, such as corresponding to another plurality of depth information capturing devices 118, such as described below.

[00178] According to some exemplary embodiments, application 160 may be configured to process said first and second depth mapping information inputs, for example, based on the angle between the first depth capture meridian of the first depth mapping information capture device to capture a first input of depth map information and a second depth capture meridian of a second device for capturing depth map information, for example, as described below.

[00179] In some exemplary embodiments, application 160 may be configured to determine the cylinder axis of the subject eye and/or the power of the cylinder of the subject eye, for example, based on a variety of different inputs of depth map information, for example, as described below.

[00180] According to some exemplary embodiments, the application 160 may be configured to reduce the disturbance of accommodation of the subject eye, for example, when capturing depth map information, for example, as described below.

[00181] According to some exemplary embodiments, application 160 may be configured to cause a graphics display device, such as output device 193, to display a predetermined pattern configured to reduce disturbance of accommodation of the test eye, for example, as described below.

[00182] In some exemplary embodiments, application 160 may be configured to instruct a user of device 102 to capture depth mapping information, such as including depth information about the eye being examined, such as described below.

[00183] According to some exemplary embodiments, the application 160 may be configured to instruct a user of the device 102 to position and/or position the device 102 such that the depth information capturing device 118 faces or is directed towards the eye being examined, for example, to allowing application 160 to detect and/or identify depth information about the eye being examined, such as in depth mapping information.

[00184] According to some exemplary embodiments, the depth information capturing device 118 may be configured to capture an image of the eye, such as an RGB image and/or any other image of the eye being examined, such as when depth mapping information is captured by the device 118 to capture depth information, for example, as described below.

[00185] In some exemplary embodiments, application 160 may be configured to detect and/or identify depth information of a subject eye, for example, based on a comparison and/or correlation between the depth map information and an image of the subject eye, e.g. as described below.

[00186] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of the subject eye, for example, based on depth map information of the subject eye and distance information corresponding to the distance between the capture device 118 depth information and the subject eye, for example when the depth map information is captured by the depth information capturing device 118, for example, as described below.

[00187] In some exemplary embodiments, depth map information of the subject eye may be captured by depth information capture device 118 through a lens of the subject eye, such as lens 202 (FIG. 2), for example, as described below.

[00188] According to some exemplary embodiments, the depth map information of the subject eye captured by the depth information capturing device 118 may be captured using an eye lens, for example, as described below.

[00189] In some exemplary embodiments, the depth information of the subject eye may correspond to the retina of the subject eye captured through the lens of the subject eye, for example, as described below.

[00190] In some exemplary embodiments, the distance between the depth information capturing device 118 and the subject eye, for example when capturing depth mapping information, may include a predetermined distance, for example, as described below.

[00191] In some exemplary embodiments, application 160 may be configured to instruct a user of device 102 to position and/or position device 102 such that depth capture device 118 is at a predetermined distance from the eye being examined, for example, as described below.

[00192] In some exemplary embodiments, the distance between the depth information capturing device 118 and the eye being examined, for example when capturing depth mapping information, can be determined and/or calculated, for example, as described below.

[00193] In some exemplary embodiments, the application 160 may be configured to determine the distance between the depth information capturing device 118 and the subject eye, for example, based on the depth information, for example, as described below.

[00194] In one embodiment, application 160 may determine the distance between depth information capturing device 118 and the subject eye, for example, based on depth information in the area around the pupil of the subject eye, for example, as described below.

[00195] In yet another embodiment, application 160 may determine the distance between depth capture device 118 and the eye being examined, for example, based on depth information about an opaque object in the eye being examined, such as the sclera or any other object.

[00196] In yet another embodiment, application 160 may determine the distance between depth capture device 118 and the eye being examined, for example, based on analysis of depth map information of the eye being examined, for example, to identify the sclera or any other object in the eye being examined, for example, as described below.

[00197] In yet another embodiment, application 160 may determine the distance between depth information capturing device 118 and the subject eye, for example, based on one or more sensors of device 102, such as an accelerometer and/or any other sensor, such as as described. below.

[00198] In yet another embodiment, application 160 may determine the distance between depth acquisition device 118 and the subject eye based on any other additional or alternative algorithm and/or method.

[00199] In some exemplary embodiments, application 160 may be configured to determine depth information, e.g., a depth value corresponding to the retina of the subject eye, e.g., a reflection on the retina of the subject eye, e.g., to determine one or more refractive error parameters eye being examined, for example as described below.

[00200] In yet another embodiment, application 160 may determine depth information about said retinal reflection, for example, based on analysis of depth map information of the eye being examined, for example, as described below.

[00201] In some exemplary embodiments, one or more refractive error parameters of the subject eye may include a power correction factor to correct the power of the lens of the subject eye, for example, at a meridian of the subject eye corresponding to the plane of the depth information capture device 118 , for example, as described below.

[00202] In some exemplary embodiments, a power correction factor, for example, when applied to a correction lens, can shift the image of a point source on the retina, which can result in substantially normal vision in the eye, for example, when using a correction lens. For example, a power correction factor, such as when applied to a correction lens, may shift point 209 (FIG. 2) in eye models 210 and/or 220 toward the retina 204 (FIG. 2), such as described above.

[00203] In some exemplary embodiments, for example, when the refractive error includes myopia and/or hyperopia, applying a power correction factor to the correction lens for the eye being examined can achieve normal vision with the correction lens, for example, because the power The lens of the eye being examined may be the same for all meridians of the eye being examined, for example when the refractive error includes myopia and/or hyperopia.

[00204] In some exemplary embodiments, a plurality of power correction factors corresponding to multiple meridians of the eye being examined may be applied to the correction lens, for example, when the refractive error includes a cylinder error, for example, as described below.

[00205] In one embodiment, the power correction factor, designated ΔPθ _i , for example, for optimal power correction, may be configured to correct the lens power, designated Pθ _i , at a specific meridian, designated θi, for the eye being examined , for example, from a possible set of meridians designated as {θi}i. For example, the θi meridian can be measured relative to the vertical meridian of the eye being examined. According to this embodiment, if the power correction factor ΔPθ _i is applied to the cornea of the test eye or the plane of the contact lens, the total corrected power of the test eye can be determined as ΔPθ+Pθ _i .

[00206] For example, the optical power correction factor ΔPθ _i may satisfy the condition that the total focal length of the eye being examined at a certain meridian θi, for example, the total corrected optical power of the eye being examined ΔPθ+Pθ _i , can exactly match the length of the eyeball of the eye being examined, for example , the distance between the retina and the lens of the eye being examined, for example, lengths 212 and/or 222 (FIG. 2). For example, the optical power correction factor ΔPθ _i can adjust the focal plane, for example, return it to the retina.

[00207] In some exemplary embodiments, the effective focal length f' of the eye being examined may be based on a combination of some or even all of the eye's refractive surfaces and the geometric structure of the eye being examined, such as corneal power, crystal power, or intraocular lens (IOL) power. and so on.

[00208] According to some exemplary embodiments, application 160 may be configured to determine a power correction factor _ΔPθi , for example, even at any given meridian for a given focal length of the eye being examined, which may provide increased, for example optimal, visual acuity .

[00209] In some exemplary embodiments, application 160 may determine a power correction factor, for example, even at any given meridian, for example, based on light reflected from the retina of the eye being examined, for example, as described below.

[00210] In some exemplary embodiments, application 160 may be configured to determine the power correction factor _ΔPθi for the effective focal length Pθ of the subject eye, for example, to match the length of the eyeball of the subject eye, for example, by analyzing light reflected from the retina of the eye being examined, for example, in such a way as to ensure optimal visual acuity, for example, as described below.

[00211] In FIG. 3A, 3B and 3C schematically illustrate three measurement circuits corresponding to some exemplary embodiments.

[00212] According to some exemplary embodiments of the measurement circuit shown in FIG. 3A, 3B, and 3C can be used to measure power correction factors for three different types of eye vision, for example, as described below.

[00213] According to some exemplary embodiments, as shown in FIG. 3A, 3B and 3C, these measurement circuits may include a depth mapper 318 including a projector or lighting device 312, and a depth sensor 314. For example, the device 118 for capturing depth information (FIG. 1) may be implemented to perform one or more operations, functions and/or roles of the depth mapper 318.

[00214] According to some exemplary embodiments, as shown in FIG. 3A, 3B, and 3C, the projector 312 may be configured to project a light beam 308 onto the lens 302 of the eye being examined, and the depth sensor 314 may be configured to sense the reflection of a feature, designated q, modeled as a point that may correspond to the reflection of the light beam 308 on the retina 304 of the eye being examined.

[00215] In one embodiment, said feature q may include a reflection on the retina 304 of a light ray 308 or any other reflection and/or feature.

[00216] According to some exemplary embodiments, depth sensor 314 may be configured to detect a measured depth, designated u', of feature q, for example, when feature q is perceived through lens 302, for example, as described below.

[00217] According to some exemplary embodiments, the measurement circuit in FIG. 3A may correspond to normal vision in the eye being examined.

[00218] According to some exemplary embodiments, as shown in FIG. 3A, the focal length 307 designated as f', for example, the effective focal length of the lens 302 of the eye being examined, may be equal to the distance 305 between the lens 302 and the retina 304 of the eye being examined.

[00219] According to these embodiments, the reflection of feature q can be detected by the depth sensor 314 of the depth mapper 318, which is located at location 309.

[00220] According to some exemplary embodiments, as shown in FIG. 3A, a location 309 may be detected by the depth mapper 318 located on the retina 304, for example, in normal vision of the eye.

[00221] According to some exemplary embodiments, as shown in FIG. 3B, the focal length 307 may be shorter than the distance 315, designated L', between the lens 302 and the retina 304, which may result in nearsighted vision, such as myopia.

[00222] In some exemplary embodiments, application 160 (FIG. 1) may be configured to determine a correction factor 313, referred to as delta_L', for myopic vision, for example, as described below.

[00223] In some exemplary embodiments, the correction factor 313 may be configured to match the focal length 307 to the distance 315 between the lens 302 and the retina 304, for example, as described below.

[00224] According to some exemplary embodiments, as shown in FIG. 3C, the focal length 307 may be greater than the distance 325, designated L', between the lens 302 and the retina 304, which may result in farsighted vision, such as hyperopia.

[00225] In some exemplary embodiments, application 160 (FIG. 1) may be configured to determine a correction factor 323, referred to as delta_L', for hyperopic vision, for example, as described below.

[00226] In some exemplary embodiments, the correction factor 323 may be configured to match the focal length 307 to the distance 325 between the lens 302 and the retina 304, for example, as described below.

[00227] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to determine a correction factor, such as correction factors 313 and/or 323, based on a distance, designated d, between the depth mapper 318 and the lens 302, for example, when the depth information is captured by the depth mapper 318, for example, as described below.

[00228] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to determine a correction factor, such as correction factors 313 and/or 323, based on the measured depth u', which may be measured by the depth mapper 318 , for example, as described below.

[00229] In some exemplary embodiments, the correction factor, e.g., correction factors 313 and/or 323, may be based on the vergence, designated "Verge' _x , of feature q at point x on X axis 333, e.g., mapper 318 depths.

[00230] In some exemplary embodiments, the vergence value may describe the curvature of the optical wavefront. For example, the vergence value can be positive for convergence and/or negative for divergence. The vergence value can be determined based on the refractive index of the medium, denoted n, and the distance, denoted r, from the point source to the wavefront. For example, the vergence value can be defined as n/r. In one embodiment, it may be assumed that the refractive index n of the medium may be equal to one, for example, n=1, for example, for ease of calculation. According to another embodiment, other values of the refractive index n can be used.

[00231] According to some exemplary embodiments, the sensor 314 of the depth mapper 318 may be configured to determine a measured depth u' corresponding to a feature q captured through the lens 302, for example, as described below.

[00232] In some exemplary embodiments, the correction factor, such as correction factors 313 and/or 323, may be based on a first vergence of feature q at a first point on the X-axis 333 and a second vergence of feature q at a second point on the X-axis 333 .

[00233] According to some exemplary embodiments, the first vergence may include a vergence designated as , feature q at point 303 ( ) on the X-axis 331, which is in close proximity to the first side of the lens 302, for example, at a distance of epsilon from the right side of the lens 302.

[00234] According to some exemplary embodiments, the second vergence may include a vergence designated as , feature q at point 301 ( ) on the X-axis 331, which is in close proximity to the second side of the lens 302, for example, at a distance of epsilon from the left side of the lens 302.

[00235] According to some exemplary embodiments, the sensor vergence, denoted Verge' _sensor , of feature q at sensor location 314 may be based on the measured depth u', which may be at a theoretical location, denoted q_ _thorethical , for example, as follows :

[00236] According to one embodiment, as shown in FIG. 3B, the measured depth u' may correspond to a theoretical location q_ _thorethical , which is at location 319.

[00237] According to one embodiment, as shown in FIG. 3C, the measured depth u' may correspond to the theoretical location q_ _thorethical , which is at location 329.

[00238] Accordingly, the second vergence, for example, at point 301, can be determined, for example, as follows:

[00239] The actual vergence of feature q at points 301 and 303 can be determined, for example, as follows:

[00240] For example, Equation 4 and Equation 5 can be combined, for example, to form a thin lens formula, for example as follows:

[00241] In some exemplary embodiments, power correction ΔPθ _i , such as power correction factors 313 and/or 323, may be configured to match the focal length 307 of the eye being examined to the physical eyeball length L' of the eye being examined, e.g. to match focal length 307 to length 315 and/or length 325 respectively, for example as follows:

[00242] For example, the power correction ΔPθ _i can be determined by substituting Equation 7 into Equation 6, for example as follows:

[00243] In some exemplary embodiments, according to Equation 9, the optical power correction factor ΔPθ _i of the eye being examined can be determined, for example, based on the distance d between the depth mapper 318 and the lens 302, as well as based on the measured feature depth u' q, for example, the depth measured by the mapper 318.

[00244] According to some exemplary embodiments, the depth mapper 318 may be configured to capture depth map information of the eye being examined; application 160 (FIG. 1) may be configured to detect the measured depth u' of feature q on said depth map; application 160 (FIG. 1) may be configured to determine distance d, for example, based on depth map information and/or based on any other distance information; and/or application 160 (FIG. 1) may be configured to determine a correction factor optical power of the eye being examined, for example using distance d and measured depth u', for example according to Equation 9.

[00245] In some exemplary embodiments, one or more test cases may be used, for example, to test Equation 9, for example, as described below.

[00246] According to one embodiment, the first test case, for example, an extreme test case in which the eyeball of the eye being examined is nominal, for example, with normal vision, can be applied to Equation 9. According to this embodiment, the distance between the lens 302 and the retina 304 may be equal to the focal length 307, for example, L'=f', for example, as shown in FIG. 3A, and accordingly Equation 9 can result in a value of zero, which means that no power correction factor is required, for example as follows:

(no additional adjustment required).

[00247] In yet another embodiment, a second test case, for example, an extreme test case in which the power of the lens of the eye under examination is zero, can be applied to Equation 9. In this embodiment, the focal length 307 can be equal to infinity, for example, , for example, as follows:

According to Equation 11, a lens with an effective focal length equal to the distance L' between lens 302 and retina 304 may be required, such as a lens with EFL=L'.

[00248] As shown in FIG. 1, according to some exemplary embodiments, application 160 may be configured to determine a correction factor, such as correction factors 313 and/or 323 (FIG. 3), for example, when the measurement to determine the correction factor is performed using an ophthalmic lens, e.g. , as described below.

[00249] According to some exemplary embodiments, application 160 may process depth map information from depth information capturing device 118 as depth information captured through an eye lens, for example, as described below.

[00250] In some exemplary embodiments, the ophthalmic lens may include a contact lens, an eyeglass lens, or any other lens.

[00251] In some exemplary embodiments, application 160 may be configured to determine a correction factor, for example, when a patient wears glasses or contact lenses, such as including an eye lens, on the test eye, for example, during a refractive error measurement. determining the correction factor, for example as described below.

[00252] In some exemplary embodiments, the effective focal length f' may include an additional power, designated "ΔPextθ _i ," which may be due to the power of the eye lens.

[00253] Accordingly, the optical power correction factor ΔPθ _i can be formed from both the effective focal length of the lens of the eye under examination and the additional optical power correction factor ΔPextθ _i of the eye lens, for example, as described below.

[00254] In some exemplary embodiments, the additional power ΔPextθ _i may be subtracted from the power correction factor ΔPθ _i , for example, to determine a corrected power correction factor, for example, the refractive error of an eye without an eye lens, for example, as described below .

[00255] In some exemplary embodiments, the additional optical power ΔPextθ _i may be known to the user. For example, the additional power ΔPextθ _i may be specified in a physician's prescription, for example, including the sphere, cylinder, and/or axis of the patient's glasses or contact lenses.

[00256] In some exemplary embodiments, application 160 may be configured to determine an adjusted correction factor, for example, relative to two adjacent spherocylindrical lenses, for example, when a patient wears glasses or a contact lens, for example, as described below.

[00257] In some exemplary embodiments, two adjacent spherocylindrical lenses may include a test eye lens and an ophthalmic lens.

[00258] In one embodiment, said ophthalmic lens may include a contact lens. In yet another embodiment, said eye lens may include a spectacle lens.

[00259] In some exemplary embodiments, the power correction factor ΔPθ _i may be composed of the effective focal length of the lens of the eye being examined and an additional power correction factor ΔPextθ _i of the eye lens, such as a contact lens or spectacle lens.

[00260] According to some exemplary embodiments, application 160 may process depth mapping information from depth information capture device 118 as depth information captured through a contact lens on the eye being examined, such as when the user is wearing a contact lens, e.g. as described below.

[00261] In some exemplary embodiments, application 160 may be configured to determine an adjusted correction factor, for example, when a patient wears a contact lens, for example, as described below.

[00262] In some exemplary embodiments, the additional power ΔPextθ _i may be based on the known power of the eye lens along the meridian θ, for example, as follows:

[00263] According to some exemplary embodiments, application 160 may be configured to determine a corrected correction factor, for example, the refractive error of the eye being examined without a contact lens, for example, by subtracting the additional power ΔPextθ _i of, for example, the eye lens, for example, as determined by Equation 12, from the optical power correction factor _ΔPθi , for example, as determined according to Equation 9.

[00264] In some exemplary embodiments, application 160 may be configured to determine a correction factor, for example, when a patient wears glasses.

[00265] In some exemplary embodiments, application 160 may process depth mapping information from device 118 to capture depth information as depth information captured through a glasses lens at a vertex distance from the eye being examined, such as when a user is wearing glasses. , for example, as described below.

[00266] According to some exemplary embodiments, application 160 may be configured to determine an optical power correction factor, for example, based on a vertex distance, designated "d _vert ", for example, between the eye being examined and a spectacle lens, which may change the additional optical power ΔPextθ _i , for example, as follows:

[00267] In some exemplary embodiments, the vertex distance d _vert may be about 12 mm or any other distance, and may reduce the power of the negative lens and/or increase the power of the positive lens.

[00268] According to some exemplary embodiments, application 160 may be configured to determine a corrected correction factor, for example, the refractive error of the eye being examined without a contact lens, for example, by subtracting the additional power ΔPextθ _i , for example, as defined by Equation 13, from optical power correction factor ΔPθ _i , for example, as determined according to Equation 9.

[00269] In some exemplary embodiments, the use of an eye lens, such as in glasses or as a contact lens, during a refractive measurement to determine a power correction factor may help overcome one or more limitations of a depth mapper, such as mapper 318 depths, for example as described below.

[00270] In one embodiment, inserting a positive or negative ocular lens, such as one having known optical power parameters, in front of the patient's eye can expand the depth measurement range. For example, the refractive error of the eye being examined can be determined, for example, in a simple manner based on the refractive error of the entire system and the known optical power parameters of the eye lens.

[00271] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on depth mapping information captured by depth capture device 118 through a mirror, for example , to increase the refractive measurement distance, for example as described below.

[00272] In some exemplary embodiments, the depth map information may include depth information of the user's eye captured by the mirror depth information capturing device 118, for example, as described below.

[00273] According to some exemplary embodiments, application 160 may be configured to instruct a user to place a camera and/or sensor, such as depth capture device 118, facing a mirror to capture depth map information on a subject eye through the mirror.

[00274] In some exemplary embodiments, capturing the mirror's depth mapping information may enable application 160 to analyze one or more refractive error parameters of the eye being examined, for example, based on twice the optical distance, for example, to and from the mirror.

[00275] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, by processing depth information, such as from depth information capture device 118, as depth information. depth from Time of Flight (ToF) depth measurement.

[00276] In one embodiment, the Time of Flight (ToF) method for generating a depth map may be based on the time of flight and/or disparity of a point captured or projected from various real world coordinates.

[00277] In some exemplary embodiments, a Time of Flight (ToF) depth measurement may include a phase shift/time delay that may be converted to a distance measurement, for example, assuming airless space.

[00278] In some exemplary embodiments, the eye being examined may be illuminated with a modulated optical signal and imaged onto the sensor plane, for example, using Time of Flight (ToF) optical means.

[00279] According to some exemplary embodiments, the contributing rays, for example, excluding scattered light, for a given pixel can travel the same optical distance, which can be a condition for obtaining an image.

[00280] In some exemplary embodiments, the lens of the test eye may change the optical distance of the contributing rays, for example, a different set of rays will emerge from the test eye. If the path of the illuminating rays passes through the lens of the eye being examined, the total path difference, for example in a no-lens scenario, may have two contributing rays and, as a result, depth readings may change.

[00281] In some exemplary embodiments, application 160 may be configured to determine a correction factor for the optical power of the eye being examined, for example, based on the amount of change in the Time of Flight (ToF) measurement results, as well as one or more ToF configuration parameters. (Time of Flight, ToF) measurements.

[00282] In some exemplary embodiments, application 160 may be configured to determine a complete prescription for a test eye, such as including cylinder power and test eye axis, for example, as described below.

[00283] In some exemplary embodiments, application 160 may be configured to determine a plurality of power correction factors _ΔPθi corresponding to multiple orientations, for example, to determine spherical, cylinder, and/or axis correction for the eye being examined.

[00284] According to some exemplary embodiments, the application 160 may be configured to determine a plurality of optical power correction factors _ΔPθi , for example, during rotation of the device 102, for example, when the depth information capturing device 118 includes a one-dimensional device for capturing information about depth, configured to obtain information about constructing a depth map for one meridian. For example, a one-dimensional depth mapper may be configured to measure the distance to an object along one meridian, such as one optical axis of the depth capture device 118.

[00285] According to some exemplary embodiments, application 160 may be configured to instruct a user of device 102 to rotate device 102, e.g., according to multiple orientations, e.g., to capture depth map information in multiple orientations. .

[00286] In some exemplary embodiments, application 160 may be configured to determine a plurality of optical power correction factors _ΔPθi , for example, based on depth map information at multiple orientations , for example, according to Equation 9.

[00287] In some exemplary embodiments, a user of device 102 may rotate device 102 along the optical axis of camera or sensor device 118 to capture depth information.

[00288] According to some exemplary embodiments, said optical axis may be predetermined, pre-identified, and/or specified, for example, during a calibration phase.

[00289] In some exemplary embodiments, multiple refractive measurements can be made for multiple orientations, such as when device 102 is rotated about the optical axis of device 118 to capture depth information.

[00290] According to some exemplary embodiments, a plurality of optical power correction factors ΔPθ _i may be determined for some or all of a plurality of orientations , for example, correction factor ΔPθ _i optical power for each orientation .

[00291] In some exemplary embodiments, the orientation of device 102 may be determined, for example, based on a gyroscope or any other sensor of device 102.

[00292] In some exemplary embodiments, application 160 may be configured to determine a complete prescription for a test eye, for example, based on depth mapping information received by depth information capture device 118 while device 102 is rotated , for example, to estimate magnification on a meridian.

[00293] For example, application 160 may instruct the user of device 102 to rotate device 102 by an angular distance between a first relative angle between the depth capture meridian and the vertical meridian of the eye being examined and a second relative angle, different from the first relative angle, between the depth capture meridian and the vertical meridian of the examined eye.

[00294] In some exemplary embodiments, application 160 may be configured to map depth information to an ellipse that may define a sphere, cylinder, and/or axis of the eye being examined.

[00295] In one embodiment, two or more different meridians may be suitable, for example, in theory, to accurately define an ellipse, for example, to obtain a complete prescription of a cylindrical lens.

[00296] In FIG. 4 schematically illustrates a rotation ellipse 400 in accordance with some exemplary embodiments.

[00297] As shown in FIG. 4, one or more rotations may be suitable to accurately define the ellipse 400, for example, to obtain a complete prescription of the eye being examined.

[00298] In one embodiment, 5 different rotations, for example corresponding to 5 meridians, may be suitable, for example, in theory, to accurately determine the ellipse, for example, to obtain the full prescription of the lens under test.

[00299] In another embodiment, more than 5 different rotations may be used, for example, to improve prescription accuracy.

[00300] In one embodiment, application 160 (FIG. 1) may be configured to instruct a user to change relative rotations between depth information capture device 118 (FIG. 1) and the subject eye to capture multiple depth map information inputs. , corresponding to the set of rotations of the ellipse 400.

[00301] As shown in FIG. 1, according to some exemplary embodiments, the application 160 may be configured to determine the entire prescription of the eye being examined, for example, including the sphere, cylinder, and/or axis of the eye being examined, for example, even without rotating the device 102, for example, as described below .

[00302] In some exemplary embodiments, the depth information capturing device 118 may include a multi-axis depth mapper configured to measure distances using multiple presets, such as meridians. For example, a multi-axis depth mapper may be configured to determine distances along multiple depth capture meridians. For example, a multi-axis depth mapper may determine a first distance along a horizontal axis, such as the horizontal meridian of a depth capture, a second distance along a vertical axis, such as the vertical meridian of a depth capture, and a third distance along a 45-degree axis and/or any other axis , for example, along the 45-degree meridian of depth capture.

[00303] According to some exemplary embodiments, the application 160 may be configured to determine the entire prescription of the eye being examined, for example, using a single capture through said multi-axis depth mapper. For example, a single acquisition by a multi-axis depth mapper may be suitable for determining a plurality of power correction factors _ΔPθi , e.g., a minimum set of power correction factors _ΔPθi , that can be used to determine the entire test eye prescription, including a sphere, a cylinder, and /or the axis of the eye being examined, for example, subject to a slow change in optical power as a function of the meridian angle.

[00304] In some exemplary embodiments, device 102 may be rotated, for example, along the optical axis of a multi-axis depth mapper, for example, to capture multiple depth maps at multiple angles, for example, to improve accuracy and/or to suppress interference during measurement . For example, a capture may include depths on multiple axes, such as multiple depth capture meridians.

[00305] According to some exemplary embodiments, application 160 may be configured to process first and second depth mapping information inputs, wherein the first depth mapping information input corresponds to a first depth acquisition meridian of a first depth acquisition device of said multi-axis device. depth mapper, and the second depth map information input corresponds to a second depth capture meridian of the second depth information capture device of said multi-axis depth mapper, for example, as described below.

[00306] According to some exemplary embodiments, application 160 may be configured to process first and second inputs of depth mapping information, for example, based on the angle between the first depth capture meridian of said first depth information capture device and the second capture meridian depths of said second device for capturing depth information, for example as described below.

[00307] In FIG. 5 schematically illustrates a multi-axis depth mapper 500 that may be implemented in accordance with some exemplary embodiments.

[00308] According to some exemplary embodiments, as shown in FIG. 5, multi-axis depth mapper 500 may include a plurality of depth mappers, such as a plurality of one-dimensional depth mappers. For example, one depth mapper of the plurality of depth mappers may include, for example, a stereo camera system or a dual camera system, an illuminator and a sensor, or any other device configuration for capturing depth information.

[00309] In some exemplary embodiments, one depth mapper of said plurality of depth mappers may be configured to provide depth information corresponding to an axis angle of said depth mapper, for example, a depth capture meridian of said depth mapper. For example, the first depth mapper 503, including a projector-sensor pair designated A1 and A2, may be configured to provide first depth information along a first axis angle 510, such as a vertical axis; and/or a second depth mapper 507, including a projector-sensor pair designated B1 and B2, may be configured to provide second depth information along a second axis angle 520, such as a 45° angle.

[00310] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to process a first depth mapping information input corresponding to the first depth mapper 503 and a second depth mapping information input corresponding to the second depth mapper 507 depths.

[00311] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to process first and second inputs of depth map information, for example, based on the angle between first axis angle 510 and second axis angle 520.

[00312] As shown in FIG. 1, according to some exemplary embodiments, the depth information capture device 118 may be configured to provide depth information to determine a power correction factor for the meridian of the eye being examined that corresponds to the axis angle of the depth information capture device 118.

[00313] According to some exemplary embodiments, application 160 may be configured to determine a measured depth u', for example, based on depth information captured by depth information capturing device 118, for example, as described below.

[00314] According to some exemplary embodiments, application 160 may be configured to use depth information from a depth mapper including a lighting device and a depth sensor, for example, as described below.

[00315] In some exemplary embodiments, the measured depth u' may correspond to the reflection depth of a feature, such as feature q, on the retina of the eye being examined.

[00316] In some exemplary embodiments, the measured depth u' of the retinal reflection may be captured, for example, when the retinal reflection is visible to the depth sensor of the depth information capturing device 118.

[00317] According to some exemplary embodiments, application 160 may be configured to instruct a user of device 102 to position depth information capturing device 118, e.g., at one or more different distances and/or angles, e.g., to enable capture reflections from the retina by the depth sensor of the device 118 to capture depth information.

[00318] In some exemplary embodiments, application 160 may instruct a user to position device 118 to capture depth information relative to the eye being examined, for example, in a manner that may be configured to achieve uniform reflection across the retina.

[00319] In FIG. 6 schematically shows an image 600 of a subject eye, a first depth map 610 of the subject eye, and a second depth map 620 of the subject eye.

[00320] According to some exemplary embodiments, as shown in FIG. 6, circle 602 may indicate a region of the pupil of the eye being examined, which may be a region of interest (ROI) of the eye being examined.

[00321] According to some exemplary embodiments, as shown in FIG. 6, circle 604 may represent an area 601 around the pupil region, such as circle 602.

[00322] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to identify a first set of depth values corresponding to region 602, identify a second set of depth values corresponding to region 601, and determine one or more refractive error parameters the eye being examined, for example, based on the first and second sets of depth values, for example, as described below.

[00323] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to determine a distance value, for example, based on a first set of depth values, determine a depth value, for example, based on a second set of depth values, and determine one or more parameters of the refractive error of the eye being examined, for example, based on a specified depth value and a specified distance value, for example, as described below.

[00324] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to determine whether a retinal depth value, such as a retinal reflection, is apparent to capture device 118. depth information (FIG. 1), for example, based on a comparison between the depth information in circles 602 and 604, for example, as described below.

[00325] According to some exemplary embodiments, the application 160 (FIG. 1) may be configured to determine a distance value, for example, between the depth information capture device 118 (FIG. 1) and the eye being examined, for example, based on the information about the depth in area 601, for example, as described below.

[00326] In some exemplary embodiments, the depth map 610 may include depth information, for example, when the retinal reflection is not visible to the depth sensor of the depth information capturing device 118 (FIG. 1).

[00327] In some exemplary embodiments, as shown in depth map 610, depth information within circle 602 and area 601 may be similar.

[00328] According to some exemplary embodiments, the depth map 620 may include depth information when the retinal reflection is visible to the depth sensor of the depth information capturing device 118 (FIG. 1).

[00329] According to some exemplary embodiments, as shown in depth map 610, depth information in circle 602 may be different from depth information in area 601.

[00330] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to determine a depth value, e.g., depth u', e.g., based on a plurality of depth data pixels in circle 602, e.g., a pupil region of interest, in the depth map 620, for example, when the retinal reflection is visible to the depth sensor of the depth information capture device 118 (FIG. 1).

[00331] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to determine a depth value, such as depth u', for example, based on the average of a majority of the depth data pixels in circle 602.

[00332] According to some exemplary embodiments, the application 160 (FIG. 1) may be configured to determine the distance between the depth information capture device 118 (FIG. 1) and the eye being examined, for example, based on a plurality of depth data pixels over outside the pupil area of interest, such as area 601.

[00333] According to some exemplary embodiments, the application 160 (FIG. 1) may be configured to determine the distance between the depth information capture device 118 (FIG. 1) and the eye being examined, for example, based on the average of a majority of the data pixels depths beyond the pupil area of interest, such as area 601.

[00334] As shown in FIG. 1, according to some exemplary embodiments, application 160 may be configured to determine depth information of a subject eye, for example, using depth mapping information captured by a depth information capturing device including a plurality of cameras and a light source. for example, as described below.

[00335] In one embodiment, depth information capturing device 118 may include two cameras. According to this embodiment, the two-camera structure can define an axis between the two cameras, according to which the distance to an object can be estimated.

[00336] In yet another embodiment, the depth information capturing device 118 may include a plurality of cameras. According to this embodiment, the multi-camera structure may define multiple axes between each pair of cameras, for example, to capture multiple depths of an object simultaneously, for example, in accordance with multiple axes.

[00337] In some exemplary embodiments, the axis may be associated with a specific angle, such as the meridian of the eye being examined, such as the axis of the two cameras.

[00338] According to some exemplary embodiments, application 160 may be configured to determine an axis or multiple axes of multiple cameras, for example, based on the settings and/or placement of the multiple cameras.

[00339] According to some exemplary embodiments, application 160 may be configured to cause interface 110 to instruct the user to rotate device 102, for example, to capture additional depth readings at additional angles.

[00340] According to some exemplary embodiments, the application 160 may be configured to determine depth information, such as the distance of reflection from the retina of the eye being examined, based on the light emitted by a light source that may be located in the vicinity of the cameras, for example, as described below .

[00341] In one embodiment, a flash from device 102 or any other light source may be suitable to initiate retinal reflection.

[00342] In some exemplary embodiments, the distance between the reflection and the depth information capture device 118 can be determined, for example, using a stereo approach with at least two cameras.

[00343] In some exemplary embodiments, application 160 may use one or more of the methods described above, for example, to increase pupil dilation and/or to improve the accuracy of a refractive measurement, such as by using depth mapping information from device 118 to capturing depth information, including a plurality of cameras and a light source, for example, as described below.

[00344] According to some exemplary embodiments, the application 160 may be configured to reduce an error (“accommodative refractive error”) that may occur as a result of the accommodation condition, for example, as described below.

[00345] According to some exemplary embodiments, application 160 may be configured to cause a graphics display device in device 102 to display a predetermined pattern, for example, configured to reduce the disturbance of accommodation of the eye being examined, for example, as described below.

[00346] For example, there may be three types or any other number of accommodation states, for example, including a dynamic accommodation state, a tonic accommodation state, and/or a proximal accommodation state.

[00347] In some exemplary embodiments, the test eye may be placed in one of three types of accommodation states, for example, if the correction factor measurement is performed at a finite distance, such as between the test eye and the device 102.

[00348] According to some exemplary embodiments, application 160 may be configured to cause or trigger a display device, such as the display of device 102, to display an image, for example, to reduce and/or suppress refractive error of accommodation.

[00349] In one embodiment, images on the screen of device 102, such as a telephone screen, may be displayed in a manner that may impair the user's accommodation. For example, one or more predetermined images may be displayed to the user to demonstrate an optical illusion that may impair accommodation of the subject eye. For example, these images may be displayed simultaneously during the refraction measurement.

[00350] In FIG. 7 schematically shows two images of a template that may be used in accordance with some exemplary embodiments.

[00351] According to some exemplary embodiments, application 160 (FIG. 1) may be configured to cause a display device, such as display device 102 (FIG. 1), to display an image 710 including, for example, a specified template, which may be configured to reduce and/or suppress refractive error of accommodation.

[00352] In some exemplary embodiments, a given pattern in image 710 may be perceived by a patient as image 720, for example, when the user is directed to a stopping point.

[00353] As shown in FIG. 1, according to some exemplary embodiments, application 160 may be configured to combine a refractive measurement with another measurement method, such as a subjective measurement method, such as is described below.

[00354] In some exemplary embodiments, the subjective measurement method may include displaying images on a display of device 102 and/or analyzing a distance, such as an actual distance, between device 102 and the user's eye being examined.

[00355] In some exemplary embodiments, a refractive measurement may be applied, for example, prior to a subjective measurement, for example, to estimate an operating point, for example, to determine the sizes and/or scales of targets that may be appropriate for a given patient.

[00356] In some exemplary embodiments, refractive measurement may be used, for example, simultaneously with subjective measurement, for example, to improve the accuracy of, for example, the refractive measurement method.

[00357] In some exemplary embodiments, application 160 may be configured to determine one or more refractive error parameters of a subject eye, for example, based on depth information received by depth mapping information capture device 118, for example, in an environment with poor lighting conditions, such as those described below.

[00358] In some exemplary embodiments, the pupils of the eye being examined may be naturally dilated, and/or infrared (IR) light from the IR source of depth information capture device 118 may not contract the pupil, such as when acquiring mapping information depths, for example, using the depth information capture device 118, is in poor lighting conditions.

[00359] In one embodiment, a signal may be received from a larger area of the pupil, which may be used to improve the accuracy of a refractive measurement and/or may alleviate user discomfort, such as when locating a reflection angle, such as when acquiring depth maps at poor lighting conditions.

[00360] In another embodiment, features in the depth map may be mapped solely to IR light with a better signal-to-noise ratio, for example, for image processing reasons.

[00361] In FIG. 8 schematically shows a method for determining one or more parameters of the refractive error of the eye under examination according to some exemplary embodiments. For example, one or more steps of the method shown in FIG. 14 can be performed by: a system, for example, system 100 (FIG. 1); a device, such as device 102 (FIG. 1); a server, for example, server 170 (FIG. 1); and/or an application, such as application 160 (FIG. 1).

[00362] According to some exemplary embodiments, as indicated at step 802, the method may include processing depth map information to identify depth information of the eye being examined. For example, application 160 (FIG. 1) may process depth map information to identify depth information about the eye being examined, for example, as described above.

[00363] In some exemplary embodiments, as shown at step 804, a method may include determining one or more refractive error parameters of a subject eye based on depth information of the subject eye. For example, application 160 (FIG. 1) may determine one or more refractive error parameters of a subject eye based on information about the depth of the subject eye, for example, as described above.

[00364] In FIG. 9 schematically illustrates a product 900 in accordance with some exemplary embodiments. Product 900 may include one or more tangible computer-readable (“machine-readable”) non-transitory storage media 902, which may include computer-executable instructions, such as those implemented by logic 904, that when executed by at least one computer processor enable performing by at least one computer processor one or more operations on device 102 (FIG. 1), server 170 (FIG. 1), depth information capture device 118 (FIG. 1), and/or application 160 (FIG. 1) to cause device 102 (FIG. 1), server 170 (FIG. 1), depth information capture device 118 (FIG. 1), and/or application 160 (FIG. 1) to execute, initiate, and/or implement one or more operations and/or functionality, and/or perform, initiate and/or carry out one or more of the operations and/or functionality described with reference to FIG. 1, 2, 3, 4, 5, 6, 7 and/or 8, and/or one or more of the operations described herein. The expressions "non-transitory computer-readable media" and "computer-readable non-transitory media" may be used to refer to all computer-readable media with the sole exception of being a transient propagated signal.

[00365] In some exemplary embodiments, product 900 and/or computer-readable storage medium 902 may include one or more types of computer-readable storage media capable of storing data, including short-term storage, non-transitory storage, removable or non-removable a storage device, an erasable or non-erasable storage device, a writable or rewritable storage device, and the like. For example, computer readable storage medium 902 may include RAM, DRAM, double data rate DRAM (DDR-DRAM), SDRAM, static RAM (SRAM), ROM, programmable ROM (EPROM), erasable programmable ROM (EPROM). , electrically erasable programmable ROM (EEPROM), compact disc ROM (CD-ROM), compact disc recordable (CD-R), compact disc rewritable (CD-RW), flash memory (e.g. NOR flash or NAND flash), CAM, polymer memory, phase change memory, ferroelectric memory, silicon-oxide-nitride-oxide-silicon (SONOS) memory, disk, solid state drive (SSD), floppy disk, hard disk, optical disk, magnetic disk, card, magnetic card, optical card, tape, cassette and the like. Computer-readable storage media may include any suitable media used in downloading or transmitting from a remote computer to a requesting computer a computer program carried by data signals embodied in a carrier wave or other medium for propagation, via a communications link, such as a modem, radio or network connection.

[00366] In some exemplary embodiments, logic 904 may include instructions, data, and/or code that, when executed by a machine, may cause the machine to carry out a method, process, and/or steps as described herein. The machine may include, for example, any suitable processor platform, computing platform, computing device, processing device, computing system, processing system, computer, processor, or the like, and may be implemented using any suitable combination of hardware, software, firmware and the like.

[00367] According to some exemplary embodiments, logic 904 may include software, a program module, an application, a program, a subroutine, instructions, an instruction set, computational code, words, values, symbols, and the like. The instructions may include any suitable type of code, such as source code, compiled code, interpreted code, executable code, static code, dynamic code, and the like. These instructions may be executed according to a specified machine language, method, or syntax to cause the processor to perform a specific function. These instructions may be implemented using any suitable high-level, low-level, object-oriented, visual, compiled and/or interpreted programming language, such as C, C++, Java, BASIC, Matlab, Pascal, Visual BASIC, assembler, machine code, etc. similar.

EXAMPLES

[00368] The following examples provide additional embodiments.

[00369] Example 1 includes a product comprising one or more tangible computer-readable non-transitory storage media containing computer-executable instructions that, when executed by at least one computer processor, enable the at least one computer processor to cause the computing device to: process information about constructing a depth map to identify information about the depth of the examined eye; and determine one or more refractive error parameters of the eye being examined based on the depth information for the eye being examined.

[00370] Example 2 includes the subject matter of Example 1, wherein the instructions, when executed, optionally cause the computing device to identify, based on the depth map information, a depth value captured through the lens of the subject eye, and to determine one or more parameters of the subject's refractive error eyes based on the specified depth value.

[00371] Example 3 includes the subject matter of Example 2, wherein said depth value captured through the lens of the subject eye optionally comprises a depth value corresponding to the retina of the subject eye.

[00372] Example 4 includes subject matter of any of Examples 1-3, wherein the instructions, when executed, optionally cause the computing device to determine one or more refractive error parameters of the subject eye based on the distance between the subject eye and the depth information capturing device , with the help of which information about the construction of a depth map is captured.

[00373] Example 5 includes the subject matter of Example 4, wherein the instructions, when executed, optionally cause the computing device to determine the distance between the eye being examined and the depth capturing device based on the depth map information.

[00374] Example 6 includes the subject matter of Example 4 or 5, wherein, if necessary, these instructions, when executed, cause the computing device to identify, based on the depth map information, a depth value corresponding to a given area of the eye being examined, and to determine the distance between the eye being examined and a device for capturing depth information based on a depth value corresponding to a specified area of the eye being examined.

[00375] Example 7 includes the subject matter of Example 6, wherein said target eye region optionally comprises the sclera of the test eye or an opaque area around the pupil of the test eye.

[00376] Example 8 includes the subject matter of any of Examples 4-7, wherein, if necessary, these instructions, when executed, cause the computing device to determine the distance between the eye being examined and the depth information capture device based on position information corresponding to the position of the device for Capture depth information.

[00377] Example 9 includes the subject matter of any of Examples 4-8, wherein said instructions, when executed, optionally cause the computing device to determine one or more refractive error parameters of the eye being examined by determining a power correction factor, designated ΔP, as follows :

Where

u’ denotes the depth value based on the depth map information, and

d denotes a distance value based on the distance between the eye being examined and the depth information capturing device.

[00378] Example 10 includes subject matter of any of Examples 1-9, wherein, if necessary, said instructions, when executed, cause the computing device to cause the user interface to instruct the user to position the depth information capturing device facing the mirror such that the information the construction of the depth map was subject to capture through the mirror.

[00379] Example 11 includes the subject matter of any of Examples 1-10, where appropriate, said instructions, when executed, cause the computing device to identify, based on the depth map information, a first depth value corresponding to a first region of the eye being examined and a second depth value, corresponding to a second region of the eye being examined, and determining one or more parameters of the refractive error of the eye being examined based on said first and second depth values.

[00380] Example 12 includes the subject matter of Example 11, wherein the instructions, when executed, optionally cause the computing device to identify, based on the depth mapping information, a first set of depth values corresponding to a first region of the eye being examined, to identify based on the mapping information depths, a second set of depth values corresponding to a second region of the eye being examined, and determining one or more parameters of the refractive error of the eye being examined based on said first and second sets of depth values.

[00381] Example 13 includes the subject matter of Example 12, wherein the instructions, when executed, optionally cause the computing device to determine a distance value based on a first set of depth values, determine a depth value based on a second set of depth values, and determine one or more refractive parameters. abnormalities of the examined eye based on the specified depth and distance values.

[00382] Example 14 includes the subject matter of any of Examples 11-13, wherein, where appropriate, the first test eye region comprises the pupil of the test eye and the second test eye region comprises a region around the pupil of the test eye.

[00383] Example 15 includes the subject matter of any of Examples 1-14, wherein, if necessary, these instructions, when executed, cause the computing device to cause the user interface to instruct the user to place a depth information capturing device to capture depth map information on at a given distance from the eye being examined.

[00384] Example 16 includes the subject matter of any of Examples 1-15, wherein the instructions, when executed, optionally cause the computing device to process image information of the subject eye and identify depth information of the subject eye based on said image information.

[00385] Example 17 includes subject matter of any of Examples 1-16, wherein, if necessary, said instructions, when executed, cause the computing device to determine one or more refractive error parameters of the test eye by processing said depth information as depth information captured through the eye lens.

[00386] Example 18 includes the subject matter of Example 17, wherein, if necessary, said instructions, when executed, cause the computing device to determine one or more refractive error parameters of the eye being examined by processing said depth information as depth information captured through a spectacle lens on vertex distance from the examined eye.

[00387] Example 19 includes the subject matter of Example 17, wherein said instructions, when executed, optionally cause the computing device to determine one or more refractive error parameters of the eye being examined by processing said depth information as depth information captured through a contact lens on the examined eye.

[00388] Example 20 includes subject matter of any of Examples 17-19, wherein the instructions, when executed, optionally cause the computing device to determine one or more refractive error parameters of the test eye based on one or more ocular lens parameters.

[00389] Example 21 includes the subject matter of any of Examples 1-20, wherein the instructions, when executed, optionally cause the computing device to determine one or more refractive error parameters of the eye being examined based on a plurality of different depth map inputs.

[00390] Example 22 includes the subject matter of Example 21, wherein, if necessary, said plurality of different depth map information inputs comprises at least a first depth map information input and a second depth map information input, wherein said first information input the depth mapping information input is captured at a first relative position between the depth information capturing device and the subject eye, and the second depth mapping information input is captured at a second relative position different from the first position between the depth information capturing device and the subject eye eye.

[00391] Example 23 includes the subject matter of Example 22, wherein, where appropriate, said first relative position comprises a first relative distance between the depth information capturing device and the subject eye, and said second relative position comprises a second relative distance different from the first relative distance , between the depth information capture device and the eye being examined.

[00392] Example 24 includes the subject matter of Example 22 or 23, wherein, where appropriate, the first relative position comprises a first relative angle between the depth capture meridian and the vertical meridian of the eye being examined, and the second relative position comprises a second relative angle different from the first relative angle, between the depth capture meridian and the vertical meridian of the examined eye.

[00393] Example 25 includes the subject matter of Example 24, wherein said instructions, when executed, optionally cause the computing device to process said first and second depth map inputs based on the angle between the first depth meridian of the first device to capture depth information for capturing the first input of the depth map construction information and the second depth meridian of the second depth information capturing device for capturing the second input of the depth map construction information.

[00394] Example 26 includes an object of any of Examples 22-25, wherein, if necessary, these instructions, when executed, cause the computing device to cause the user interface to instruct the user to change the relative positioning between the device for capturing depth information and the subject eye to capture first information about constructing a depth map at a first relative position and second information about constructing a depth map at a second relative position.

[00395] Example 27 includes the subject matter of any of Examples 21-26, wherein, if necessary, these instructions, when executed, cause the computing device to determine at least one of the axis of the cylinder of the examined eye or the optical power of the cylinder of the examined eye based on a variety of different inputs of information about constructing a depth map.

[00396] Example 28 includes subject matter of any of Examples 1-20, wherein the instructions, when executed, optionally cause the computing device to determine one or more refractive error parameters of the eye being examined based on the depth map generation information comprising the single depth map.

[00397] Example 29 includes the subject matter of any of Examples 1-28, wherein, if necessary, these instructions, when executed, cause the computing device to cause the graphics display device to display a predetermined pattern configured to reduce disturbance of accommodation of the eye being examined.

[00398] Example 30 includes subject matter of any of Examples 1-29, wherein, if necessary, said instructions, when executed, cause the computing device to determine one or more refractive error parameters of the eye being examined by processing the depth information as depth information from the depth measurement with structured lighting.

[00399] Example 31 includes the subject matter of any of Examples 1-29, wherein, if necessary, these instructions, when executed, cause the computing device to determine one or more parameters of the refractive error of the eye being examined by processing the depth information as depth information from a multi-chamber measurement depths.

[00400] Example 32 includes the subject matter of any of Examples 1-29, wherein, if necessary, these instructions, when executed, cause the computing device to determine one or more parameters of the refractive error of the eye being examined by processing the depth information as depth information from the time-of-flight ( Time of Flight, ToF) measurements.

[00401] Example 33 includes an object from any of Examples 1-32, wherein the depth map generation information optionally includes at least one depth map from a depth mapper.

[00402] Example 34 includes an object from any of Examples 1-32, wherein the depth map information includes image information from a multi-camera device, as appropriate.

[00403] Example 35 includes the subject matter of any of Examples 1-34, wherein the one or more refractive error parameters of the subject eye optionally include a power correction factor for correcting the power of the lens of the subject eye.

[00404] Example 36 includes the subject matter of any of Examples 1-35, wherein the refractive error optionally includes at least one of myopia, hypermetropia, or astigmatism, comprising cylinder power and cylinder axis.

[00405] Example 37 includes an apparatus comprising: a device for capturing depth information for generating depth map information; and a processor configured to process the depth map information to identify the depth information of a subject eye and determine one or more refractive error parameters of the subject eye based on said depth information of the subject eye.

[00406] Example 38 includes the subject matter of Example 37, wherein, if necessary, said processor is configured to identify, based on the depth map information, a depth value captured through the lens of the subject eye, and determine one or more refractive error parameters of the subject eye based on specified depth.

[00407] Example 39 includes the subject matter of Example 38, wherein said depth value captured through the lens of the subject eye optionally comprises a depth value corresponding to the retina of the subject eye.

[00408] Example 40 includes subject matter of any of Examples 37-39, wherein, if necessary, said processor is configured to determine one or more refractive error parameters of the eye being examined based on the distance between the eye being examined and the depth information capturing device.

[00409] Example 41 includes the subject matter of Example 40, wherein, if necessary, the processor is configured to determine the distance between the eye being examined and the depth information capturing device based on the depth map information.

[00410] Example 42 includes the subject matter of Example 40 or 41, wherein, if necessary, the processor is configured to identify, based on the depth map information, a depth value corresponding to a given area of the eye being examined, and to determine a distance between the eye being examined and the information capture device about the depth based on the specified depth value corresponding to the specified area of the eye being examined.

[00411] Example 43 includes the subject matter of Example 42, wherein the predetermined region of the test eye optionally comprises the sclera of the test eye or an opaque area around the pupil of the test eye.

[00412] Example 44 includes an object of any of Examples 40-43, wherein, if necessary, the processor is configured to determine the distance between the eye being examined and the depth information capturing device based on position information corresponding to the position of the depth information capturing device .

[00413] Example 45 includes the subject matter of any of Examples 40-44, wherein, if necessary, said processor is configured to determine one or more refractive error parameters of the eye being examined by determining a power correction factor, designated ΔP, as follows:

Where

u’ denotes the depth value based on the depth map information, and

d denotes a distance value based on the distance between the eye being examined and the depth information capturing device.

[00414] Example 46 includes subject matter from any of Examples 37-45, wherein, if necessary, the processor is configured to cause the user interface to instruct the user to place the depth information capturing device facing the mirror such that the depth map information is subject to capture through the mirror.

[00415] Example 47 includes an object from any of Examples 37-46, wherein, if necessary, said processor is configured to identify, based on the depth map information, a first depth value corresponding to the first region of the eye being examined and a second depth value corresponding to the second area of the eye being examined, and determining one or more parameters of the refractive error of the eye being examined based on said first and second depth values.

[00416] Example 48 includes the subject matter of Example 47, wherein, if necessary, the processor is configured to identify, based on the depth map information, a first set of depth values corresponding to the first region of the eye being examined, identifying, based on the depth map information, a second set of values depths corresponding to the second region of the examined eye, and determining one or more parameters of the refractive error of the examined eye based on the specified first and second sets of depth values.

[00417] Example 49 includes the subject matter of Example 48, wherein, if necessary, the processor is configured to determine a distance value based on the first set of depth values, determine a depth value based on the second set of depth values, and determine one or more refractive error parameters of the eye being examined on based on the specified depth and distance values.

[00418] Example 50 includes the subject matter of any of Examples 47-49, wherein, where appropriate, the first test eye region comprises the pupil of the test eye and the second test eye region comprises a region around the pupil of the test eye.

[00419] Example 51 includes the subject matter of any of Examples 37-50, wherein, if necessary, the processor is configured to cause the user interface to instruct the user to place a depth information capturing device to capture depth mapping information at a predetermined distance from the eye being examined. .

[00420] Example 52 includes subject matter from any of Examples 37-51, wherein, if necessary, the processor is configured to process image information of the subject eye and identify depth information of the subject eye based on said image information.

[00421] Example 53 includes subject matter of any of Examples 37-52, wherein, if necessary, the processor is configured to determine one or more refractive error parameters of the eye being examined by processing the depth information as depth information captured through the ocular lens.

[00422] Example 54 includes the subject matter of Example 53, wherein, if necessary, the processor is configured to determine one or more refractive error parameters of the subject eye by processing the depth information as depth information captured through the lens of the glasses at a vertex distance from the subject eye .

[00423] Example 55 includes the subject matter of Example 53, wherein, if necessary, the processor is configured to determine one or more refractive error parameters of the subject eye by processing the depth information as depth information captured through a contact lens on the subject eye.

[00424] Example 56 includes the subject matter of any of Examples 53-55, wherein, if necessary, said processor is configured to determine one or more parameters of the refractive error of the eye being examined based on one or more parameters of the ocular lens.

[00425] Example 57 includes subject matter from any of Examples 37-56, wherein, if necessary, said processor is configured to determine one or more refractive error parameters of the eye being examined based on a plurality of different depth map inputs.

[00426] Example 58 includes the subject matter of Example 57, wherein, if necessary, said plurality of different depth map information inputs comprises at least a first depth map information input and a second depth map information input, wherein said first input the depth mapping information is captured at a first relative position between the depth information capturing device and the subject eye, and the second input of the depth mapping information is captured at a second relative position different from the first position between the depth information capturing device and examined eye.

[00427] Example 59 includes the subject matter of Example 58, wherein the first relative position optionally comprises a first relative distance between the depth information capturing device and the subject eye, and the second relative position comprises a second relative distance, different from the first relative distance, between a device for capturing depth information and the eye being examined.

[00428] Example 60 includes the subject matter of Example 58 or 59, wherein, where appropriate, the first relative position comprises a first relative angle between the depth capture meridian and the vertical meridian of the eye being examined, and the second relative position comprises a second relative angle different from the first relative angle, between the depth capture meridian and the vertical meridian of the examined eye.

[00429] Example 61 includes the subject matter of Example 60, wherein, if necessary, the processor is configured to process first and second depth map information inputs based on the angle between the first depth capture meridian of the first depth information capture device to capture the first information input about constructing a depth map, and a second depth capture meridian of a second device for capturing depth information for capturing a second input of information about constructing a depth map.

[00430] Example 62 includes the subject matter of any of Examples 58-61, wherein, if necessary, said processor is configured to cause the user interface to instruct the user to change the relative positioning between the device for capturing depth information and the subject eye to capture the first input of information about constructing a depth map in a first relative position and a second input of information about constructing a depth map in a second relative position.

[00431] Example 63 includes the subject matter of any of Examples 57-62, wherein, if necessary, the processor is configured to determine at least one of the axis of the cylinder of the examined eye or the optical power of the cylinder of the examined eye based on a plurality of different inputs of the depth map information .

[00432] Example 64 includes the subject matter of any of Examples 37-56, wherein, if necessary, said processor is configured to determine one or more parameters of the refractive error of the eye being examined based on information about constructing a depth map containing one depth map.

[00433] Example 65 includes the subject matter of any of Examples 37-64, wherein, if necessary, the processor is configured to cause the graphics display device to display a predetermined pattern configured to reduce the disturbance of accommodation of the eye being examined.

[00434] Example 66 includes subject matter of any of Examples 37-65, wherein, if necessary, said processor is configured to determine one or more refractive error parameters of the eye being examined by processing the depth information as depth information from a structured light depth measurement .

[00435] Example 67 includes subject matter of any of Examples 37-65, wherein, if necessary, said processor is configured to determine one or more refractive error parameters of the eye being examined by processing the depth information as depth information from a multi-chamber depth measurement.

[00436] Example 68 includes subject matter of any of Examples 37-65, wherein, if necessary, the processor is configured to determine one or more refractive error parameters of the eye being examined by processing the depth information as depth information from the Time of Flight. ToF) measurements.

[00437] Example 69 includes an object from any of Examples 37-68, wherein the depth map generation information optionally includes at least one depth map from a depth mapper.

[00438] Example 70 includes subject matter from any of Examples 37-68, wherein the depth map information includes image information from a multi-camera device, as appropriate.

[00439] Example 71 includes the subject matter of any of Examples 37-70, wherein, where appropriate, said one or more refractive error parameters of the subject eye include a power correction factor for correcting the power of the lens of the subject eye.

[00440] Example 72 includes the subject matter of any of Examples 37-71, wherein said refractive error optionally comprises at least one of myopia, hypermetropia, or astigmatism, comprising cylinder power and cylinder axis.

[00441] Example 73 includes a method for determining one or more refractive error parameters of a subject eye, including: processing depth map information to identify depth information of the subject eye; and determining one or more refractive error parameters of the eye being examined based on the depth information of the eye being examined.

[00442] Example 74 includes the subject matter of Example 73 and optionally includes identifying, based on the depth mapping information, a depth value captured through the lens of the subject eye, and determining one or more refractive error parameters of the subject eye based on the specified depth value .

[00443] Example 75 includes the subject matter of Example 74, wherein the depth value captured through the lens of the subject eye optionally includes a depth value corresponding to the retina of the subject eye.

[00444] Example 76 includes the subject matter of any of Examples 73-75 and optionally comprises determining one or more refractive error parameters of the subject eye based on the distance between the subject eye and the depth information capturing device with which the formation information is captured depth maps.

[00445] Example 77 includes the subject matter of Example 76 and optionally includes determining the distance between the test eye and the device for capturing depth information based on the depth map information.

[00446] Example 78 includes the subject matter of Example 76 or 77 and optionally includes identifying, based on the depth mapping information, a depth value corresponding to a given area of the eye being examined, and determining a distance between the eye being examined and the depth information capturing device based on the depth value corresponding to a given area of the eye being examined.

[00447] Example 79 includes the subject matter of Example 78, wherein the predetermined region of the test eye optionally comprises the sclera of the test eye or an opaque area around the pupil of the test eye.

[00448] Example 80 includes the subject matter of any of Examples 76-79 and optionally includes determining a distance between the eye being examined and the depth information capturing device based on position information corresponding to the position of the depth information capturing device.

[00449] Example 81 includes the subject matter of any of Examples 76-80 and optionally includes determining one or more refractive error parameters of the eye being examined by determining a power correction factor, designated ΔP, as follows:

Where

u’ denotes the depth value based on the depth map information, and

d denotes a distance value based on the distance between the eye being examined and the depth information capturing device.

[00450] Example 82 includes the subject matter of any of Examples 73-81 and optionally includes causing the user interface to instruct the user to position the depth information capturing device facing the mirror such that the depth map information is subject to capture through the mirror.

[00451] Example 83 includes the subject matter of any of Examples 73-82 and optionally includes identifying, based on the depth map information, a first depth value corresponding to a first region of the eye being examined and a second depth value corresponding to a second region of the eye being examined , and determining one or more refractive error parameters of the eye being examined based on said first and second depth values.

[00452] Example 84 includes the subject matter of Example 83 and optionally includes identifying, based on depth mapping information, a first set of depth values corresponding to a first region of the eye being examined, identifying, based on depth mapping information, a second set of depth values, corresponding to the second region of the examined eye, and determining one or more parameters of the refractive error of the examined eye based on the specified first and second sets of depth values.

[00453] Example 85 includes the subject matter of Example 84 and optionally includes determining a distance value based on said first set of depth values, determining a depth value based on said second set of depth values, and determining one or more refractive error parameters of the eye being examined on based on the specified depth and distance values.

[00454] Example 86 includes the subject matter of any of Examples 83-85, wherein, where appropriate, the first test eye region comprises the pupil of the test eye and the second test eye region comprises a region around the pupil of the test eye.

[00455] Example 87 includes the subject matter of any of Examples 73-86 and optionally includes causing the user interface to instruct the user to place a depth information capturing device to capture depth mapping information at a predetermined distance from the eye being examined.

[00456] Example 88 includes the subject matter of any of Examples 73-87 and optionally includes processing eye image information and identifying eye depth information based on said image information.

[00457] Example 89 includes the subject matter of any of Examples 73-88 and optionally includes determining one or more refractive error parameters of the eye being examined by processing said depth information as depth information captured through the ocular lens.

[00458] Example 90 includes the subject matter of Example 89 and optionally includes determining one or more refractive error parameters of a subject eye by processing said depth information as depth information captured through a spectacle lens at a vertex distance from the subject eye.

[00459] Example 91 includes the subject matter of Example 89 and optionally includes determining one or more refractive error parameters of the eye being examined by processing said depth information as depth information captured through a contact lens on the eye being examined.

[00460] Example 92 includes the subject matter of any of Examples 89-91 and optionally includes determining one or more refractive error parameters of the eye being examined based on one or more ocular lens parameters.

[00461] Example 93 includes the subject matter of any of Examples 73-92 and optionally includes determining one or more refractive error parameters of the eye being examined based on a plurality of different depth map information inputs.

[00462] Example 94 includes the subject matter of Example 93, wherein, if necessary, said plurality of different depth map information inputs comprises at least a first depth map information input and a second depth map information input, wherein the first depth map information input The depth mapping input is captured at a first relative position between the depth information capturing device and the subject eye, and the second depth mapping information input is captured at a second relative position different from the first position between the depth information capturing device and the subject eye.

[00463] Example 95 includes the subject matter of Example 94, wherein the first relative position optionally comprises a first relative distance between the depth information capturing device and the subject eye, and the second relative position comprises a second relative distance, different from the first relative distance, between a device for capturing depth information and the eye being examined.

[00464] Example 96 includes the subject matter of Example 94 or 95, wherein, where appropriate, the first relative position comprises a first relative angle between the depth capture meridian and the vertical meridian of the eye being examined, and the second relative position comprises a second relative angle different from the first relative angle, between the depth capture meridian and the vertical meridian of the examined eye.

[00465] Example 97 includes the subject matter of Example 96 and optionally includes processing said first and second depth map construction information inputs based on the angle between the first depth capture meridian of the first depth information capture device to capture the first construction information depth maps and a second depth capture meridian of a second depth information capture device for capturing a second input of depth map construction information.

[00466] Example 98 includes the subject matter of any of Examples 94-97 and optionally includes causing the user interface to instruct the user to change the relative positioning between the depth information capturing device and the subject eye to capture the first input of depth mapping information in the first relative position and a second input of information about constructing a depth map in the second relative position.

[00467] Example 99 includes subject matter of any of Examples 93-98 and optionally includes determining at least one of a subject eye cylinder axis or a subject eye cylinder power based on a plurality of different depth map information inputs.

[00468] Example 100 includes the subject matter of any of Examples 73-92 and optionally includes determining one or more refractive error parameters of the eye being examined based on depth map generation information comprising one depth map.

[00469] Example 101 includes the subject matter of any of Examples 73-100 and optionally includes causing the graphics display device to display a predetermined pattern configured to reduce disturbance of accommodation of the eye being examined.

[00470] Example 102 includes the subject matter of any of Examples 73-101 and optionally includes determining one or more refractive error parameters of the eye being examined by processing said depth information as depth information from a structured light depth measurement.

[00471] Example 103 includes the subject matter of any of Examples 73-101 and optionally includes determining one or more refractive error parameters of the eye being examined by processing the depth information as depth information from a multi-chamber depth measurement.

[00472] Example 104 includes the subject matter of any of Examples 73-101 and optionally includes determining one or more refractive error parameters of the eye being examined by processing the depth information as depth information from Time of Flight (ToF) measurements.

[00473] Example 105 includes an object from any of Examples 73-104, wherein the depth map generation information optionally includes at least one depth map from a depth mapper.

[00474] Example 106 includes subject matter from any of Examples 73-104, wherein the depth map information includes image information from a multi-camera device, as appropriate.

[00475] Example 107 includes the subject matter of any of Examples 73-106, wherein the one or more refractive error parameters of the subject eye optionally include a power correction factor for correcting the power of the lens of the subject eye.

[00476] Example 108 includes the subject matter of any of Examples 73-107, wherein the refractive error optionally includes at least one of myopia, hyperopia, or astigmatism, comprising cylinder power and cylinder axis.

[00477] Example 109 includes an apparatus for determining one or more refractive error parameters of a subject eye, comprising: means for processing depth map information to identify depth information of the subject eye; and means for determining one or more refractive error parameters of the eye being examined based on said depth information of the eye being examined.

[00478] Example 110 includes the subject matter of Example 109 and optionally includes means for identifying, based on the depth map information, a depth value captured through the lens of the subject eye, and determining one or more refractive error parameters of the subject eye based on the specified depth value .

[00479] Example 111 includes the subject matter of Example 110, wherein said depth value captured through the lens of the subject eye optionally comprises a depth value corresponding to the retina of the subject eye.

[00480] Example 112 includes subject matter of any of Examples 109-111 and optionally includes means for determining one or more refractive error parameters of a subject eye based on the distance between the subject eye and the depth information capturing device with which the information is captured about constructing a depth map.

[00481] Example 113 includes the subject matter of Example 112 and optionally includes means for determining the distance between the test eye and the depth information capturing device based on the depth map information.

[00482] Example 114 includes the subject matter of Example 112 or 113 and optionally includes means for identifying, based on the depth mapping information, a depth value corresponding to a given area of the eye being examined, and determining a distance between the eye being examined and the depth information capturing device based on a specified depth value corresponding to a specified specified area of the eye being examined.

[00483] Example 115 includes the subject matter of Example 114, wherein the specified target eye region optionally comprises the sclera of the test eye or an opaque area around the pupil of the test eye.

[00484] Example 116 includes the subject matter of any of Examples 112-115 and optionally includes means for determining the distance between the eye being examined and the depth information capturing device based on position information corresponding to the position of said depth information capturing device.

[00485] Example 117 includes the subject matter of any of Examples 112-116 and optionally includes means for determining one or more refractive error parameters of the eye being examined by determining a power correction factor, designated ΔP, as follows:

Where

u’ denotes the depth value based on the depth map information, and

d denotes a distance value based on the distance between the eye being examined and the depth information capturing device.

[00486] Example 118 includes the subject matter of any of Examples 109-117 and optionally includes means for causing the user interface to instruct the user to place the depth information capturing device facing the mirror such that the depth map information is to be captured through mirror.

[00487] Example 119 includes an object of any of Examples 109-118 and optionally includes means for identifying, based on the depth map information, a first depth value corresponding to a first region of the eye being examined and a second depth value corresponding to a second region of the eye being examined , and determining one or more parameters of the refractive error of the eye being examined based on said first and second depth values.

[00488] Example 120 includes the subject matter of Example 119 and optionally includes means for identifying, based on depth map information, a first set of depth values corresponding to a first region of the eye being examined, identifying, based on said depth map information, a second set of depth values , corresponding to the second region of the examined eye, and determining one or more parameters of the refractive error of the examined eye based on the specified first and second sets of depth values.

[00489] Example 121 includes the subject matter of Example 120 and optionally includes means for determining a distance value based on the first set of depth values, determining a depth value based on the second set of depth values, and determining one or more refractive error parameters of the eye being examined based on those depth values and distance values.

[00490] Example 122 includes the subject matter of any of Examples 119-121, wherein, where appropriate, the first test eye region comprises the pupil of the test eye and the second test eye region comprises a region around the pupil of the test eye.

[00491] Example 123 includes an entity from any of Examples 109-122 and optionally includes means for causing the user interface to instruct the user to place a depth information capturing device to capture depth mapping information at a predetermined distance from the eye being examined.

[00492] Example 124 includes the subject matter of any of Examples 109-123 and optionally includes means for processing image information of the subject eye and identifying depth information of the subject eye based on the image information.

[00493] Example 125 includes the subject matter of any of Examples 109-124 and optionally includes means for determining one or more refractive error parameters of the eye being examined by processing the depth information as depth information captured through the ocular lens.

[00494] Example 126 includes the subject matter of Example 125 and optionally includes means for determining one or more refractive error parameters of a subject eye by processing the depth information as depth information captured through a spectacle lens at a vertex distance from the subject eye.

[00495] Example 127 includes the subject matter of Example 125 and optionally includes means for determining one or more refractive error parameters of a subject eye by processing the depth information as depth information captured through a contact lens on the subject eye.

[00496] Example 128 includes subject matter from any of Examples 125-127 and optionally includes means for determining one or more refractive error parameters of the eye being examined based on one or more ocular lens parameters.

[00497] Example 129 includes the subject matter of any of Examples 109-128 and optionally includes means for determining one or more refractive error parameters of the eye being examined based on a plurality of different depth map information inputs.

[00498] Example 130 includes the subject matter of Example 129, wherein, if necessary, said plurality of different depth map information inputs comprises at least a first depth map information input and a second depth map information input, wherein the first information input the depth mapping input is captured at a first relative position between the depth information capturing device and the subject eye, and the second depth mapping information input is captured at a second relative position different from the first position between the depth information capturing device and the subject eye.

[00499] Example 131 includes the subject matter of Example 130, wherein the first relative position optionally comprises a first relative distance between the depth information capturing device and the subject eye, and the second relative position comprises a second relative distance, different from the first relative distance, between a device for capturing depth information and the eye being examined.

[00500] Example 132 includes the subject matter of Example 130 or 131, wherein the first relative position optionally comprises a first relative angle between the depth capture meridian and the vertical meridian of the eye being examined, and the second relative position comprises a second relative angle different from the first relative angle, between the depth capture meridian and the vertical meridian of the examined eye.

[00501] Example 133 includes the subject matter of Example 132 and optionally includes means for processing first and second inputs of depth mapping information based on the angle between the first depth meridian of the first device for capturing depth mapping information to capture the first input depth map construction information and a second depth meridian of a second depth map construction information capturing device for capturing a second input of depth map construction information.

[00502] Example 134 includes the subject matter of any of Examples 130-133 and optionally includes means for causing the user interface to instruct the user to change the relative positioning between the device for capturing depth information and the subject eye to capture the first input of construction information depth maps in the first relative position and a second input of information about constructing a depth map in the second relative position.

[00503] Example 135 includes the subject matter of any of Examples 129-134 and optionally includes means for determining at least one of the eye cylinder axis or the eye cylinder power based on said plurality of different depth map inputs.

[00504] Example 136 includes the subject matter of any of Examples 109-128 and optionally includes means for determining one or more refractive error parameters of the eye being examined based on the depth map generation information comprising means for one depth map.

[00505] Example 137 includes subject matter of any of Examples 109-136 and optionally includes means for causing the graphics display device to display a predetermined pattern configured to reduce an accommodation error of the eye being examined.

[00506] Example 138 includes the subject matter of any of Examples 109-137 and optionally includes means for determining one or more refractive error parameters of the eye being examined by processing the depth information as depth information from a structured light depth measurement.

[00507] Example 139 includes the subject matter of any of Examples 109-137 and optionally includes means for determining one or more refractive error parameters of the eye being examined by processing the depth information as depth information from a multi-chamber depth measurement.

[00508] Example 140 includes the subject matter of any of Examples 109-137 and optionally includes means for determining one or more refractive error parameters of the eye being examined by processing the depth information as depth information from Time of Flight (ToF) measurements.

[00509] Example 141 includes an object from any of Examples 109-140, wherein the depth map generation information optionally includes at least one depth map from a depth mapper.

[00510] Example 142 includes an object from any of Examples 109-140, wherein the depth map information includes image information from a multi-camera device, as appropriate.

[00511] Example 143 includes the subject matter of any of Examples 109-142, wherein the one or more refractive error parameters of the subject eye optionally comprise a power correction factor for correcting the power of the lens of the subject eye.

[00512] Example 144 includes the subject matter of any of Examples 109-143, wherein, where appropriate, said refractive error includes at least one of myopia, hyperopia, or astigmatism, comprising means for cylinder power or cylinder axis.

[00513] The functions, steps, components and/or features described herein with reference to one or more embodiments may be combined or used in combination with one or more other functions, steps, components and/or features described in herein with reference to one or more further embodiments, or vice versa.

[00514] Although specific features are shown and described herein, various modifications, substitutions, changes and equivalents may be made by those skilled in the art. Thus, it is to be understood that the appended claims are intended to cover all such modifications and changes as being within the principles of the present invention.

Claims (51)

1. A tangible, computer-readable, non-transitory storage medium for determining one or more parameters of a refractive error of the eye being examined, comprising computer-executable instructions configured, when executed by at least one computer processor, to enable said at least one computer processor to induce a computational devices: process depth map information of the eye being examined, wherein the eye being examined includes a retina and a lens having a focal length, wherein processing depth map information includes identifying a distance difference determined by a difference between a focal length and a distance from the lens to the retina ; And determine one or more parameters of the refractive error of the examined eye based on the specified difference in the distances of the examined eye. 2. The tangible computer-readable non-transitory storage medium of claim 1, wherein said instructions, when executed, cause the computing device to identify, based on said depth map information, a depth value captured through the lens of the eye being examined, and wherein one or more refractive error parameters of the examined eye are also determined based on the specified depth value. 3. The tangible computer-readable non-transitory storage medium of claim 2, wherein said depth value captured through the lens of the eye being examined corresponds to the retina of the eye being examined. 4. The tangible computer-readable non-transitory storage medium of claim 1, wherein one or more refractive error parameters of the subject eye are also determined based on the distance between the subject eye and the depth information capturing device with which the depth mapping information is captured. 5. The tangible computer-readable non-transitory storage medium of claim 4, wherein said instructions, when executed, cause the computing device to determine the distance between the eye being examined and the depth information capturing device based on the depth map information. 6. The tangible computer-readable non-transitory storage medium of claim 4, wherein said instructions, when executed, cause the computing device to identify, based on the depth map information, a depth value corresponding to a given area of the eye being examined, and to determine a distance between the eye being examined and the capture device depth information based on a specified depth value corresponding to a specified area of the eye being examined. 7. The tangible computer-readable non-transitory storage medium of claim 6, wherein said specified area of the eye being examined comprises the sclera of the eye being examined or an opaque area around the pupil of the eye being examined. 8. The tangible computer-readable non-transitory storage medium of claim 4, wherein the instructions, when executed, cause the computing device to determine a distance between the eye being examined and the depth information capturing device based on position information corresponding to the position of the depth information capturing device. 9. The tangible computer-readable non-transitory storage medium of claim 4, wherein, in accordance with said instructions, one or more refractive error parameters of the eye being examined are also determined by the computing device by determining an optical power correction factor, denoted ΔP, as follows: , Where denotes the depth value based on the depth map construction information, and d denotes a distance value based on the distance between the eye being examined and the depth information capturing device. 10. The tangible computer-readable non-transitory storage medium of claim 1, wherein said instructions, when executed, cause the computing device to cause the user interface to instruct the user to position the depth information capturing device facing the mirror such that the depth map information is subject to capture through the mirror. 11. The tangible computer-readable non-transitory storage medium of claim 1, wherein said instructions, when executed, cause the computing device to identify, based on the depth map information, a first depth value corresponding to a first region of the eye being examined and a second depth value corresponding to a second region of the eye being examined. eyes, and wherein one or more refractive error parameters of the eye being examined are also determined based on said first and second depth values. 12. The tangible computer-readable non-transitory storage medium of claim 11, wherein said instructions, when executed, cause the computing device to identify, based on the depth map information, a first group of depth values corresponding to the first region of the eye being examined, to identify based on the depth map information. a second group of depth values corresponding to a second region of the eye being examined, and wherein one or more parameters of said refractive error of the eye being examined are also determined based on said first and second depth values. 13. The tangible computer-readable non-transitory storage medium of claim 12, wherein said instructions, when executed, cause the computing device to determine a distance value based on the first group of depth values, determine a depth value based on the second group of depth values, and wherein the one or more parameters The refractive error of the examined eye is also determined based on the specified depth and distance values. 14. The tangible computer-readable non-transitory storage medium of claim 11, wherein the first test eye region comprises the pupil of the test eye and the second test eye region comprises a region around the pupil of the test eye. 15. The tangible computer-readable non-transitory storage medium of claim 1, wherein said instructions, when executed, cause the computing device to cause a user interface to instruct the user to position a depth information capturing device to capture depth map information at a predetermined distance from the eye being examined. . 16. The tangible computer-readable non-transitory storage medium of claim 1, wherein said instructions, when executed, cause the computing device to process image information of the subject eye and identify a distance difference of the subject eye based on said image information. 17. The tangible computer-readable non-transitory storage medium of claim 1, wherein one or more refractive error parameters of the eye being examined are also determined by processing said distance difference as depth information captured through the ocular lens. 18. The tangible computer-readable non-transitory storage medium of claim 17, wherein the one or more refractive error parameters of the subject eye are also determined by processing said distance difference as depth information captured through the spectacle lens at a vertex distance from the subject eye. 19. The tangible computer-readable non-transitory storage medium of claim 17, wherein the one or more refractive error parameters of the subject eye are also determined by processing said distance difference as depth information captured through the contact lens on the subject eye. 20. The tangible computer-readable non-transitory storage medium of claim 17, wherein the one or more refractive error parameters of the eye being examined are also determined based on the one or more parameters of the ocular lens. 21. A tangible computer-readable, non-transitory storage medium according to any one of claims. 1-20, in which one or more parameters of the refractive error of the eye being examined are also determined based on various inputs of the depth map information. 22. The tangible computer-readable non-transitory storage medium of claim 1, wherein the one or more refractive error parameters of the eye being examined are also determined based on the various depth mapping information inputs, and wherein the various depth mapping information inputs comprise at least the first a depth map information input and a second depth map information input, wherein the first depth map information input is captured at a first relative position between the depth information capturing device and the subject eye, and the second depth map information input is captured at a second a relative position, different from the first relative position, between the device for capturing depth information and the eye being examined. 23. The tangible computer-readable non-transitory storage medium of claim 22, wherein the first relative position comprises a first relative distance between the depth information capturing device and the subject eye, and the second relative position comprises a second relative distance, different from the first relative distance, between the device to capture information about depth and the examined eye. 24. The tangible computer-readable non-transitory storage medium of claim 22, wherein the first relative position comprises a first relative angle between the depth capture meridian and the vertical meridian of the eye being examined, and the second relative position comprises a second relative angle, different from the first relative angle, between the capture meridian depth and vertical meridian of the examined eye. 25. The tangible computer-readable non-transitory storage medium of claim 24, wherein said instructions, when executed, cause the computing device to process first and second inputs of depth mapping information based on an angle between the first depth capture meridian of the first depth information capture device to capture a first input of depth map construction information and a second depth capture meridian of a second depth information capture device for capturing a second input of depth map construction information. 26. The tangible computer-readable non-transitory storage medium of claim 22, wherein said instructions, when executed, cause the computing device to cause the user interface to instruct the user to change the relative positioning between the device for capturing depth information and the subject eye to capture the first input of the formation information depth maps in the first relative position and a second input of information about constructing a depth map in the second relative position. 27. The tangible computer-readable non-transitory storage medium of claim 21, wherein said instructions, when executed, cause the computing device to determine at least one of a subject eye cylinder axis or a subject eye cylinder optical power based on said various inputs of depth map information. 28. A tangible, computer-readable, non-transitory storage medium according to any one of claims. 1-20, in which one or more parameters of the refractive error of the eye being examined are also determined based on information about constructing a depth map containing one depth map. 29. A tangible computer-readable, non-transitory storage medium according to any one of claims. 1-20, wherein said instructions, when executed, cause the computing device to cause the graphics display device to display a predetermined pattern configured to reduce disturbance of accommodation of the eye being examined. 30. A tangible computer-readable, non-transitory storage medium according to any one of claims. 1-20, wherein one or more refractive error parameters of the eye being examined are also determined by processing the distance difference as depth information from the structured light depth measurement. 31. A tangible computer-readable, non-transitory storage medium according to any one of claims. 1-20, wherein one or more refractive error parameters of the eye being examined are also determined by processing the distance difference as depth information of the multi-chamber depth measurement. 32. A tangible, computer-readable, non-transitory storage medium according to any one of claims. 1-20, wherein one or more refractive error parameters of the eye being examined are also determined by processing the distance difference as depth information from the Time of Flight (ToF) measurement. 33. A tangible computer-readable, non-transitory storage medium according to any one of claims. 1-20, wherein the depth map generation information comprises at least one depth map from a depth mapper. 34. A tangible, computer-readable, non-transitory storage medium according to any one of claims. 1-20, in which the depth map construction information contains image information from a multi-camera device. 35. A tangible computer-readable, non-transitory storage medium according to any one of claims. 1-20, wherein the one or more refractive error parameters of the test eye comprise a power correction factor for correcting the power of the lens of the test eye. 36. A tangible computer-readable, non-transitory storage medium according to any one of claims. 1-20, wherein said refractive error comprises at least one of myopia, hyperopia or astigmatism, comprising cylinder power and cylinder axis. 37. A device for determining one or more parameters of the refractive error of the eye being examined, containing: device for capturing depth information to generate depth map information and a processor configured to process said depth map information to identify, for the eye being examined, a distance difference determined by the difference between the focal length of the lens of the eye being examined and the distance from the lens to the retina of the eye being examined, and determining one or more parameters of the refractive error of the examined eye based on the specified difference in the distances of the examined eye. 38. The device of claim 37, wherein one or more refractive error parameters of the eye being examined are also determined based on the distance between the eye being examined and the depth information capturing device. 39. A method for determining one or more parameters of the refractive error of the eye being examined, including: processing information about constructing a depth map of the eye being examined, wherein the eye being examined includes a retina and a lens having a focal length, wherein processing information about constructing a depth map includes determining a distance difference determined by the difference between the focal length and the distance from the lens to the retina ; And determining one or more parameters of the refractive error of the examined eye based on the specified difference in the distances of the examined eye. 40. The method of claim 39, including identifying, based on said depth map information, a depth value captured through the lens of the subject eye, and determining one or more refractive error parameters of the subject eye based on said depth value.