[go: up one dir, main page]

WO2020103526A1 - Méthode et dispositif de photographie, support de stockage et dispositif terminal - Google Patents

Méthode et dispositif de photographie, support de stockage et dispositif terminal

Info

Publication number
WO2020103526A1
WO2020103526A1 PCT/CN2019/104549 CN2019104549W WO2020103526A1 WO 2020103526 A1 WO2020103526 A1 WO 2020103526A1 CN 2019104549 W CN2019104549 W CN 2019104549W WO 2020103526 A1 WO2020103526 A1 WO 2020103526A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
expression
preset
image
photographing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2019/104549
Other languages
English (en)
Chinese (zh)
Inventor
侯允
刘耀勇
陈岩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Publication of WO2020103526A1 publication Critical patent/WO2020103526A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/61—Control of cameras or camera modules based on recognised objects
    • H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body

Definitions

  • Embodiments of the present application relate to the technical field of terminal equipment, and in particular, to a photographing method, device, storage medium, and terminal equipment.
  • the terminal device is generally equipped with a camera, and with the development of the camera technology of the terminal device, most terminal devices will be equipped with at least two cameras, and the camera function of the terminal device is becoming more and more abundant.
  • a photographing method, device, storage medium, and terminal device provided in the embodiments of the present application can improve the convenience of photographing.
  • an embodiment of the present application provides a photographing method, including:
  • a photograph is triggered to collect an image of the user.
  • an embodiment of the present application provides a photographing device, including:
  • the image acquisition module is used to acquire the preview image of the user who is shot in the shooting area when shooting in the preset shooting mode
  • An expression recognition module configured to recognize the expression included in the preview image according to a preset expression recognition model
  • the photographing triggering module is used to trigger the photographing to collect the user's image when it is detected that the user is at rest and the user's expression is the target expression.
  • an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, which is executed by a processor:
  • a photograph is triggered to collect an image of the user.
  • an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored on the memory and executable on the processor.
  • the processor executes:
  • a photograph is triggered to collect an image of the user.
  • FIG. 1 is a schematic flowchart of a photographing method provided by an embodiment of the present application
  • FIG. 2 is a schematic flowchart of another photographing method provided by an embodiment of the present application.
  • FIG. 3 is a schematic flowchart of another photographing method provided by an embodiment of the present application.
  • FIG. 4 is a schematic flowchart of another photographing method provided by an embodiment of the present application.
  • FIG. 5 is a schematic flowchart of another photographing method provided by an embodiment of the present application.
  • FIG. 6 is a structural block diagram of a camera device provided by an embodiment of the present application.
  • FIG. 7 is a schematic structural diagram of a terminal device according to an embodiment of this application.
  • FIG. 8 is a schematic structural diagram of another terminal device according to an embodiment of the present application.
  • An embodiment of the present application provides a photographing method, including:
  • a photograph is triggered to collect an image of the user.
  • the acquiring the preview image of the user captured in the shooting area may include:
  • the recognizing the expression included in the preview image according to the preset expression recognition model includes:
  • the first number of preview images all include a target expression, it is determined that the user's expression is the target expression.
  • the method further includes:
  • the triggering to take a picture to collect the image of the user includes:
  • the method when it is detected that the user is in a stationary state, the method further includes:
  • the method further includes:
  • the method before the triggering to take a picture to collect the image of the user, the method further includes:
  • triggering a photograph to collect an image of the user includes:
  • the expression of the user is a target expression
  • the photographing posture is a preset posture
  • the method before recognizing the expression included in the preview image according to a preset expression recognition model, the method further includes:
  • the preset face data set includes preset face images, face key point data and expressions
  • the preset expression recognition model is used to identify face key point data in the input image, and according to the The face key point data determines the expression included in the input image.
  • FIG. 1 is a schematic flowchart of a photographing method provided by an embodiment of the present application.
  • the method may be performed by a photographing device, where the device may be implemented by software and / or hardware, and may be generally integrated in a terminal device or other In devices with an operating system.
  • the method includes:
  • the user can take a selfie through the camera of the terminal device.
  • the user needs to manually trigger the camera button, which is very inconvenient in the self-timer mode.
  • users can use the selfie stick to trigger the camera button, but this method needs to rely on shooting aids, which is still not convenient.
  • the preset photographing mode may be a mode in which a preset camera in the terminal device is turned on to take a picture, or a mode in which a camera in the terminal device may be taken according to preset shooting parameters, and the terminal device may be a smartphone , Tablet or other electronic devices with corresponding operating systems.
  • the preset photographing mode may be a self-timer mode, that is, a mode for taking pictures through a front camera of a terminal device.
  • the preview image turns on the camera of the terminal device, and the camera is aimed at the area to be captured.
  • the camera can be captured on the display screen of the terminal device.
  • Real-time image of the area which will include the image of the user being photographed.
  • the preview image only displays the real-time image obtained by the camera, but does not record the real-time image.
  • the preview image of the user in the shooting area can reflect the current user's status in real time, and the user's status can be identified by acquiring the preview image of the user shot in the shooting area. You can cache the current preview screen and perform image processing on the preview screen to identify the user form in the preview image. Generally, the preview image will not be stored, and the preview image will be stored only when the photo is triggered.
  • the preset expression recognition model may be a machine learning model that has been trained, and the expression recognition model may recognize the expression included in the input image. Input the buffered preview image of the current shooting area into the expression recognition model to obtain the expression included in the preview expression.
  • an operation of training an expression recognition model may be further included, which may be: inputting a preset face data set into the preset model for training, to Obtain a preset expression recognition model; wherein, the preset face data set includes preset face images, face key point data, and expressions, and the preset expression recognition model is used to identify people in the input image Face key point data, and determine the expression included in the input image according to the face key point data.
  • the preset model may be a machine learning model
  • the preset face data set is input into the preset model to train the preset model
  • the preset model establishes a mapping relationship between the face image, face key point data and expression, To generate an expression recognition model.
  • the preset face data set includes multiple face images, covering face images of different poses, different angles, different expressions and whether to wear accessories, and each face image is marked with corresponding face key point data and expressions.
  • the face key point data is key point data for distinguishing expressions.
  • the face key point data includes the angle of the corner of the mouth. If the angle of the corner of the mouth of a face image is upward, it can be determined that the image may contain a smiling expression.
  • One face image can correspond to multiple face key point data, and the facial expression can be determined according to multiple face key data.
  • the facial expression recognition model can first recognize the key point information of the face in the preview image, and then can determine the corresponding facial expression based on the recognized facial key point information as the facial expression included in the preview image.
  • the model when acquiring the preview image of the user photographed in the shooting area, it can be detected whether the user moves according to the preview image, when it is detected that the user has not moved, that is, when the user is in a stationary state, and recognized by a preset expression
  • the model when the model recognizes that the expression included in the preview image is the target expression, it may trigger a photograph to collect the user's image.
  • the user When taking photos in the preset photo mode, the user will take a suitable expression to take photos. For example, if the preset photo mode is a self-timer model, the user will generally take photos with a smiling expression.
  • the smiling expression can be used as the target expression, that is, when the user's expression is detected as a smiling expression, a photograph is triggered to collect an image containing the user's smiling expression.
  • Triggered photographing may be by sending a trigger instruction to a functional component for managing photographing, so that the functional component executes a photographing process, collects the user's image through a camera, and stores the collected user's image in the storage space of the terminal device in.
  • the user's image is collected by triggering a photograph when it is detected that the user is in a stationary state and the user's expression is the target expression.
  • the camera is triggered. Not only can automatic photography be achieved, but also images containing suitable expressions can be captured, and the image will not be blurred due to user movement, which can improve the clarity of the image degree.
  • a photographing method when shooting in a preset photographing mode, a preview image of a user who is photographed in a shooting area is acquired; and the preview image is identified according to a preset expression recognition model Expression; when it is detected that the user is in a stationary state, and the user's expression is the target expression, a photo is triggered to collect an image of the user.
  • automatic photographing can be performed according to the expression of the user when the user is in a stationary state, and the automatic photographing can be achieved without the user manually triggering or relying on the photographing auxiliary tool, and the convenience of photographing can be improved.
  • FIG. 2 is a schematic flowchart of another photographing method provided by an embodiment of the present application.
  • the operation of obtaining a preview image of a user photographed in the shooting area is optimized, and
  • the method includes:
  • the preset time may be a time period preset by the system.
  • the preset time may be 2 seconds or 3 seconds
  • the first number may be a preset value, which may be 5, 7, or 10.
  • the first number of preview images of the captured users in the shooting area is acquired, that is, within the preset time period of the system, several preview images of the captured users are continuously acquired, and each preview image is one Frame preview image.
  • the collected first number of preview images are input into a preset expression recognition model for recognition, and the expression recognition model separately recognizes the expression included in each preview image.
  • the pixels in the preview image of each frame can be detected separately, and the change of the pixels can be determined according to the difference between the pixels in the preview image of each frame and the pixels in the preview image of the adjacent frame.
  • the preset condition may be a judgment condition for determining that the degree of change of a pixel is less than a preset degree.
  • the preset condition may be a ratio of pixels whose pixel value changes less than a preset value are less than a preset proportion. If the number of the preview images is greater than two, the change of pixels in the preview images of any two adjacent frames can be determined separately, if the change of pixels in the preview images of any two adjacent frames conforms to the preset Conditions, it can be determined that the user is in a stationary state.
  • an automatic photograph can be triggered when it is determined that the user has maintained a suitable target expression, and a suitable target expression can be collected Images to improve the accuracy of automatic photos.
  • FIG. 4 is a schematic flowchart of another photographing method provided by an embodiment of the present application.
  • the operation of triggering a photograph to collect the user ’s image is optimized, optional Ground, as shown in FIG. 4, the method includes:
  • a second number of user images can be collected by triggering a photograph.
  • the second number can be a system preset or a user setting. Collecting the second number of images can provide multiple options for the user, and the user can select a suitable one from the multiple images Keep to avoid the need to take pictures again.
  • the method when the user is detected to be in a stationary state, the method further includes the following operations: performing a photographing prompt; and after triggering the photographing to collect the image of the user, further including: performing a prompt to complete.
  • the shooting prompt and the completion prompt may be a sound prompt or a flash prompt through the terminal device.
  • the shooting prompt is used to remind the user to take a picture soon. The user needs to keep the gesture until the picture is taken.
  • the completion prompt is used to remind the user that the picture is taken, and the user can stop taking a picture.
  • FIG. 5 is a schematic flowchart of another photographing method provided by an embodiment of the present application. Based on the technical solution provided by any of the foregoing embodiments, optionally, as shown in FIG. 5, the method includes:
  • the profile information of the user is the boundary information between the user and the background in the shooting area
  • the angle of the user's face is the relative angle between the plane where the user's facial features are located and the reference plane.
  • the reference plane may be a plane perpendicular to the shooting angle.
  • the user's facial features are three-dimensional in actual space, but a preset plane can be fitted according to the positions of the facial features, so as to minimize the distance between the actual position of the facial features and the preset plane, and the preset plane can be determined as the user's The plane where the five senses are.
  • the user's basic posture can be determined based on the user's contour information. Because the user's head is close to the shape of a sphere, the actual angle of the user's head may not be accurately determined based on the user's contour information, so it is necessary to determine the user's face angle Determine the posture of the user's head, and then determine the user's accurate photographing posture based on the profile information and the face angle.
  • S143 Determine the user's photographing posture according to the profile information and the face angle.
  • the posture of the body and the posture of the head may be determined according to the preset posture recognition model, and the photographing posture may be determined according to the posture of the body and the posture of the head.
  • the posture recognition model may be a trained machine learning model.
  • the user's expression is a target expression
  • the photographing posture is a preset posture, triggering a photograph to collect an image of the user.
  • the target expression and the preset gesture have a corresponding relationship with the preset photographing mode, that is, different preset photographing modes correspond to different target expressions and different preset gestures.
  • the corresponding target facial expression and the corresponding preset posture are determined, so that automatic photographing can be triggered according to the user's posture and facial expression.
  • the user adopts different photographing modes, and the purpose of the photo that the user wants to obtain will be different.
  • the user if the user is in the self-portrait mode, the user generally wants to obtain a relaxed selfie, and if the user is in the photo-taking mode, the user generally wants to obtain a decent portrait. Therefore, in different preset photo modes, the user will make different postures and expressions, and correspondingly determine the user's expressions and postures to trigger the automatic photographing. The user can make the corresponding postures and expressions to trigger the automatic photographing. To collect photos containing the pose and expression.
  • the automatic photographing is triggered by judging that the user is in a stationary state, the user's expression is the target expression, and the user's photographing posture is the preset posture.
  • Appropriate photos can further improve the intelligence and accuracy of automatic photography.
  • An embodiment of the present application also provides a photographing device, including:
  • the image acquisition module is used to acquire the preview image of the user who is shot in the shooting area when shooting in the preset shooting mode
  • An expression recognition module configured to recognize the expression included in the preview image according to a preset expression recognition model
  • the photographing triggering module is used to trigger the photographing to collect the user's image when it is detected that the user is at rest and the user's expression is the target expression.
  • the image acquisition module is also used to:
  • the expression recognition module is specifically used for:
  • the first number of preview images all include a target expression, it is determined that the user's expression is the target expression.
  • the image acquisition module is also used to:
  • the image acquisition module is also used to:
  • the device further includes:
  • the completion prompting module is used for prompting completion after triggering the photographing to collect the image of the user.
  • it also includes:
  • the information determining module is used to determine the profile information and face angle of the user in the preview image before the triggering of the photograph to collect the image of the user;
  • a posture determination module configured to determine the user's photo posture based on the profile information and the face angle
  • the photo trigger module is specifically used for:
  • the expression of the user is a target expression
  • the photographing posture is a preset posture
  • it also includes:
  • the model training module is used to input the preset face data set into the preset model for training before identifying the expression included in the preview image according to the preset expression recognition model to obtain the preset expression recognition model ;
  • the preset face data set includes preset face images, face key point data and expressions
  • the preset expression recognition model is used to identify face key point data in the input image, and according to the The face key point data determines the expression included in the input image.
  • FIG. 6 is a structural block diagram of a photographing device according to an embodiment of the present application.
  • the device can perform a photographing method. As shown in FIG. 6, the device includes:
  • the image acquisition module 201 is used to acquire the preview image of the user who is photographed in the shooting area when shooting in the preset photographing mode;
  • the expression recognition module 202 is configured to recognize the expression included in the preview image according to a preset expression recognition model
  • the photographing triggering module 203 is configured to trigger photographing to collect the user's image when it is detected that the user is at rest and the user's expression is the target expression.
  • a photographing device obtains a preview image of a user photographed in a shooting area by shooting in a preset photographing mode; and recognizes the preview image included in the preview image according to a preset expression recognition model Expression; when it is detected that the user is in a stationary state, and the user's expression is the target expression, a photo is triggered to collect an image of the user.
  • automatic photographing can be performed according to the expression of the user when the user is in a stationary state, and the automatic photographing can be achieved without the user manually triggering or relying on the photographing auxiliary tool, which can improve the convenience of photographing.
  • the image acquisition module is specifically used for:
  • the expression recognition module is specifically used for:
  • the first number of preview images all include a target expression, it is determined that the user's expression is the target expression.
  • it also includes:
  • the camera trigger module is specifically used to:
  • it also includes:
  • the completion prompting module is used for prompting completion after triggering the photographing to collect the image of the user.
  • it also includes:
  • the information determining module is used to determine the profile information and face angle of the user in the preview image before the triggering of the photograph to collect the image of the user;
  • a posture determination module configured to determine the user's photo posture based on the profile information and the face angle
  • the photo trigger module is specifically used for:
  • the expression of the user is a target expression
  • the photographing posture is a preset posture
  • it also includes:
  • the model training module is used to input the preset face data set into the preset model for training before identifying the expression included in the preview image according to the preset expression recognition model to obtain the preset expression recognition model ;
  • the preset face data set includes preset face images, face key point data and expressions
  • the preset expression recognition model is used to identify face key point data in the input image, and according to the The face key point data determines the expression included in the input image.
  • a storage medium containing computer-executable instructions provided in an embodiment of the present application is not limited to the above-mentioned photographing operation, and can also perform related operations in the photographing method provided in any embodiment of the present application.
  • An embodiment of the present application further provides a storage medium containing computer-executable instructions, which when executed by a computer processor is used to execute a photographing method, the method includes:
  • a photograph is triggered to collect an image of the user.
  • Storage medium any kind of memory device or storage device.
  • storage media is intended to include: installation media such as CD-ROM, floppy disk or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc ; Non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements.
  • the storage medium may also include other types of memory or a combination thereof.
  • the storage medium may be located in the first computer system in which the program is executed, or may be located in a different second computer system that is connected to the first computer system through a network such as the Internet.
  • the second computer system may provide program instructions to the first computer for execution.
  • storage medium may include two or more storage media that may reside in different locations (eg, in different computer systems connected through a network).
  • the storage medium may store program instructions executable by one or more processors (eg, embodied as a computer program).
  • An embodiment of the present application provides a terminal device, and the terminal device may be integrated with the photographing device provided by the embodiment of the present application.
  • FIG. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • An embodiment of the present application provides a terminal device 30, including a memory 31, a processor 32, and a computer stored on the memory 31 and capable of running on the processor. Program, when the processor executes the computer program, the photographing method described in the above embodiment is implemented.
  • the terminal device provided by the embodiment of the present application can improve the convenience of taking pictures.
  • FIG. 8 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • the terminal device may include: a casing (not shown in the figure), a touch screen (not shown in the figure), a touch button (not shown in the figure), a memory 301, and a central processing unit (Central Processing) Unit, CPU) 302 (also called processor, hereinafter referred to as CPU), circuit board (not shown in the figure) and power supply circuit (not shown in the figure).
  • CPU Central Processing Unit
  • the circuit board is placed inside the space enclosed by the housing; the CPU 302 and the memory 301 are provided on the circuit board; the power circuit is used to supply power to each circuit or device of the terminal device
  • the memory 301 is used to store executable program code; the CPU 302 runs the computer program corresponding to the executable program code by reading the executable program code stored in the memory 301 to achieve:
  • a photograph is triggered to collect an image of the user.
  • the terminal device further includes: a peripheral interface 303, an RF (Radio Frequency) circuit 305, an audio circuit 306, a speaker 311, a power management chip 308, an input / output (I / O) subsystem 309, a touch screen 312, other
  • the input / control device 310 and the external port 304 communicate through one or more communication buses or signal lines 307.
  • the illustrated terminal device 300 is only an example of the terminal device, and the terminal device 300 may have more or fewer components than shown in the figure, and two or more components may be combined, Or it can have different component configurations.
  • the various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and / or application specific integrated circuits.
  • the terminal device uses a mobile phone as an example.
  • Memory 301 which can be accessed by CPU 302, peripheral interface 303, etc.
  • the memory 301 can include high-speed random access memory, and can also include non-volatile memory, such as one or more disk storage devices, flash memory devices , Or other volatile solid-state storage devices.
  • Peripheral interface 303 which can connect input and output peripherals of the device to CPU 302 and memory 301.
  • the I / O subsystem 309 which can connect input and output peripherals on the device, such as touch screen 312 and other input / control devices 310, to peripheral interface 303.
  • the I / O subsystem 309 may include a display controller 3091 and one or more input controllers 3092 for controlling other input / control devices 310.
  • one or more input controllers 3092 receive electrical signals from other input / control devices 310 or send electrical signals to other input / control devices 310.
  • Other input / control devices 310 may include physical buttons (press buttons, rocker buttons, etc. ), Dial pad, slide switch, joystick, click wheel. It is worth noting that the input controller 3092 can be connected to any of the following: a keyboard, an infrared port, a USB interface, and a pointing device such as a mouse.
  • the touch screen 312 is an input interface and an output interface between the user terminal device and the user, and displays the visual output to the user, and the visual output may include graphics, text, icons, video, and the like.
  • the display controller 3091 in the I / O subsystem 309 receives electrical signals from the touch screen 312 or sends electrical signals to the touch screen 312.
  • the touch screen 312 detects the contact on the touch screen, and the display controller 3091 converts the detected contact into interaction with the user interface object displayed on the touch screen 312, that is, realizes human-computer interaction. Icons for games, icons connected to the corresponding network, etc.
  • the device may also include a light mouse, which is a touch-sensitive surface that does not display visual output or an extension of the touch-sensitive surface formed by a touch screen.
  • the RF circuit 305 is mainly used to establish communication between the mobile phone and the wireless network (that is, the network side), and realize data reception and transmission between the mobile phone and the wireless network. For example, sending and receiving short messages, e-mail, etc. Specifically, the RF circuit 305 receives and transmits RF signals, which are also called electromagnetic signals. The RF circuit 305 converts electrical signals into electromagnetic signals or converts electromagnetic signals into electrical signals, and communicates with the communication network and other devices through the electromagnetic signals Communicate.
  • the RF circuit 305 may include known circuits for performing these functions, including but not limited to antenna systems, RF transceivers, one or more amplifiers, tuners, one or more oscillators, digital signal processors, CODEC ( COder-DECoder (codec) chipset, subscriber identity module (Subscriber Identity Module, SIM), etc.
  • CODEC COder-DECoder (codec) chipset
  • subscriber identity module Subscriber Identity Module, SIM
  • the audio circuit 306 is mainly used to receive audio data from the peripheral interface 303, convert the audio data into electrical signals, and send the electrical signals to the speaker 311.
  • the speaker 311 is used to restore the voice signal received by the mobile phone from the wireless network through the RF circuit 305 to a sound and play the sound to the user.
  • the power management chip 308 is used for power supply and power management for the hardware connected to the CPU 302, the I / O subsystem, and the peripheral interface.
  • the terminal device provided by the embodiment of the present application can improve the convenience of taking pictures.
  • the photographing apparatus, storage medium, and terminal device provided in the above embodiments can perform the photographing method provided in any embodiment of the present application, and have corresponding function modules and beneficial effects for performing the method.
  • the photographing method provided in any embodiment of the present application please refer to the photographing method provided in any embodiment of the present application.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)

Abstract

Les modes de réalisation de la présente invention portent sur un procédé de photographie, comprenant les étapes consistant à : lors de la prise de photographie, acquérir une image de prévisualisation d'un utilisateur à photographier à l'intérieur d'une zone de photographie ; reconnaître l'expression comprise dans l'image de prévisualisation en fonction d'un modèle de reconnaissance d'expressions prédéfinies ; lorsqu'il est détecté que l'utilisateur est en position immobile et que l'expression est une expression cible, déclencher une photographie de façon à acquérir une image de l'utilisateur, ce qui ne nécessite donc pas l'utilisateur déclenche manuellement ou s'appuie sur un outil d'aide à la photographie, et permet à l'utilisateur de prendre automatiquement une photographie, ce qui peut améliorer la commodité de prise de photographie.
PCT/CN2019/104549 2018-11-21 2019-09-05 Méthode et dispositif de photographie, support de stockage et dispositif terminal Ceased WO2020103526A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811392429.4A CN109348135A (zh) 2018-11-21 2018-11-21 拍照方法、装置、存储介质及终端设备
CN201811392429.4 2018-11-21

Publications (1)

Publication Number Publication Date
WO2020103526A1 true WO2020103526A1 (fr) 2020-05-28

Family

ID=65316849

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/104549 Ceased WO2020103526A1 (fr) 2018-11-21 2019-09-05 Méthode et dispositif de photographie, support de stockage et dispositif terminal

Country Status (2)

Country Link
CN (1) CN109348135A (fr)
WO (1) WO2020103526A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112791401A (zh) * 2020-12-31 2021-05-14 上海米哈游天命科技有限公司 拍摄方法、装置、电子设备及存储介质
CN114245021A (zh) * 2022-02-14 2022-03-25 北京火山引擎科技有限公司 互动拍摄方法、电子设备、存储介质及计算机程序产品
CN114302200A (zh) * 2021-06-28 2022-04-08 海信视像科技股份有限公司 一种显示设备、及基于用户姿态触发的拍照方法
CN114449165A (zh) * 2021-12-27 2022-05-06 广州极飞科技股份有限公司 拍照控制方法、装置、无人设备及存储介质
CN114724201A (zh) * 2020-12-18 2022-07-08 苏州沃柯雷克智能系统有限公司 一种基于视觉的检测方法、装置、设备及存储介质
CN116701675A (zh) * 2022-02-25 2023-09-05 荣耀终端有限公司 图像数据的处理方法和电子设备

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109348135A (zh) * 2018-11-21 2019-02-15 Oppo广东移动通信有限公司 拍照方法、装置、存储介质及终端设备
CN110177205A (zh) * 2019-05-20 2019-08-27 深圳壹账通智能科技有限公司 终端设备、基于微表情的拍照方法及计算机可读存储介质
CN110191283A (zh) * 2019-06-03 2019-08-30 成都品果科技有限公司 一种智能拍照方法及装置
CN110348419B (zh) * 2019-07-18 2023-03-24 三星电子（中国）研发中心 用于拍照的方法和装置
WO2021056442A1 (fr) * 2019-09-27 2021-04-01 深圳市大疆创新科技有限公司 Procédé et système de composition pour dispositif de photographie, et support de stockage
CN112752016B (zh) * 2020-02-14 2023-06-16 腾讯科技（深圳）有限公司 一种拍摄方法、装置、计算机设备和存储介质
CN112672053A (zh) * 2020-12-23 2021-04-16 深圳创维－Rgb电子有限公司 拍摄方法、装置、终端设备以及计算机可读存储介质
CN113269072B (zh) * 2021-05-18 2024-06-07 咪咕文化科技有限公司 图片处理方法、装置、设备及计算机程序
CN113784039B (zh) * 2021-08-03 2023-07-11 北京达佳互联信息技术有限公司 头像处理方法、装置、电子设备及计算机可读存储介质
CN118175238B (zh) * 2024-05-14 2024-09-03 威海凯思信息科技有限公司 一种基于aigc的图像生成方法和装置

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090322895A1 (en) * 2008-06-30 2009-12-31 Casio Computer Co., Ltd Image sensing apparatus and storage medium
CN101630410A (zh) * 2009-08-18 2010-01-20 北京航空航天大学 一种基于单摄像机的人体坐姿判定方法
KR20100073765A (ko) * 2008-12-23 2010-07-01 삼성전자주식회사 디지털 촬영장치, 그 제어방법 및 제어방법을 실행시키기 위한 프로그램을 저장한 기록매체
JP2010263269A (ja) * 2009-04-30 2010-11-18 Sanyo Electric Co Ltd 撮像装置
CN102710865A (zh) * 2012-06-18 2012-10-03 宇龙计算机通信科技(深圳)有限公司 具有拍照功能的移动终端及其人像自拍方法
CN104506721A (zh) * 2014-12-15 2015-04-08 南京中科创达软件科技有限公司 一种手机照相机的自拍系统和使用方法
CN107635095A (zh) * 2017-09-20 2018-01-26 广东欧珀移动通信有限公司 拍摄照片的方法、装置、存储介质及拍摄设备
CN108646920A (zh) * 2018-05-16 2018-10-12 Oppo广东移动通信有限公司 识别交互方法、装置、存储介质及终端设备
CN108737718A (zh) * 2018-03-21 2018-11-02 北京猎户星空科技有限公司 拍摄方法、装置和智能设备
CN109348135A (zh) * 2018-11-21 2019-02-15 Oppo广东移动通信有限公司 拍照方法、装置、存储介质及终端设备

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8488023B2 (en) * 2009-05-20 2013-07-16 DigitalOptics Corporation Europe Limited Identifying facial expressions in acquired digital images
CN102831430B (zh) * 2011-06-14 2015-02-04 华晶科技股份有限公司 拍照时间点的预测方法及采用所述拍照时间点的预测方法的装置
CN103024275A (zh) * 2012-12-17 2013-04-03 东莞宇龙通信科技有限公司 自动拍摄方法及终端

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090322895A1 (en) * 2008-06-30 2009-12-31 Casio Computer Co., Ltd Image sensing apparatus and storage medium
KR20100073765A (ko) * 2008-12-23 2010-07-01 삼성전자주식회사 디지털 촬영장치, 그 제어방법 및 제어방법을 실행시키기 위한 프로그램을 저장한 기록매체
JP2010263269A (ja) * 2009-04-30 2010-11-18 Sanyo Electric Co Ltd 撮像装置
CN101630410A (zh) * 2009-08-18 2010-01-20 北京航空航天大学 一种基于单摄像机的人体坐姿判定方法
CN102710865A (zh) * 2012-06-18 2012-10-03 宇龙计算机通信科技(深圳)有限公司 具有拍照功能的移动终端及其人像自拍方法
CN104506721A (zh) * 2014-12-15 2015-04-08 南京中科创达软件科技有限公司 一种手机照相机的自拍系统和使用方法
CN107635095A (zh) * 2017-09-20 2018-01-26 广东欧珀移动通信有限公司 拍摄照片的方法、装置、存储介质及拍摄设备
CN108737718A (zh) * 2018-03-21 2018-11-02 北京猎户星空科技有限公司 拍摄方法、装置和智能设备
CN108646920A (zh) * 2018-05-16 2018-10-12 Oppo广东移动通信有限公司 识别交互方法、装置、存储介质及终端设备
CN109348135A (zh) * 2018-11-21 2019-02-15 Oppo广东移动通信有限公司 拍照方法、装置、存储介质及终端设备

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114724201A (zh) * 2020-12-18 2022-07-08 苏州沃柯雷克智能系统有限公司 一种基于视觉的检测方法、装置、设备及存储介质
CN112791401A (zh) * 2020-12-31 2021-05-14 上海米哈游天命科技有限公司 拍摄方法、装置、电子设备及存储介质
CN112791401B (zh) * 2020-12-31 2023-12-12 上海米哈游天命科技有限公司 拍摄方法、装置、电子设备及存储介质
CN114302200A (zh) * 2021-06-28 2022-04-08 海信视像科技股份有限公司 一种显示设备、及基于用户姿态触发的拍照方法
CN114449165A (zh) * 2021-12-27 2022-05-06 广州极飞科技股份有限公司 拍照控制方法、装置、无人设备及存储介质
CN114449165B (zh) * 2021-12-27 2023-07-18 广州极飞科技股份有限公司 拍照控制方法、装置、无人设备及存储介质
CN114245021A (zh) * 2022-02-14 2022-03-25 北京火山引擎科技有限公司 互动拍摄方法、电子设备、存储介质及计算机程序产品
CN114245021B (zh) * 2022-02-14 2023-08-08 北京火山引擎科技有限公司 互动拍摄方法、电子设备、存储介质及计算机程序产品
CN116701675A (zh) * 2022-02-25 2023-09-05 荣耀终端有限公司 图像数据的处理方法和电子设备
US12388950B2 (en) 2022-02-25 2025-08-12 Honor Device Co., Ltd. Image data processing method and electronic device

Also Published As

Publication number Publication date
CN109348135A (zh) 2019-02-15

Similar Documents

Publication Publication Date Title
WO2020103526A1 (fr) Méthode et dispositif de photographie, support de stockage et dispositif terminal
US11210796B2 (en) Imaging method and imaging control apparatus
CN108566516B (zh) 图像处理方法、装置、存储介质及移动终端
US20210160431A1 (en) Shooting Control Method and Terminal
WO2019109801A1 (fr) Procédé et dispositif de réglage de paramètre de photographie, support d'informations, et terminal mobile
WO2017036035A1 (fr) Procédé et dispositif de commande d'écran
CN112351188B (zh) 根据对象显示图形元素的装置和方法
KR20140104753A (ko) 신체 부위 검출을 이용한 이미지 프리뷰
CN108650457A (zh) 自动拍照方法、装置、存储介质及移动终端
CN108346175B (zh) 一种人脸图像修复方法、装置及存储介质
WO2017124899A1 (fr) Procédé, appareil et dispositif électronique de traitement d'informations
WO2020020134A1 (fr) Procédé de photographie et terminal mobile
CN109361794B (zh) 移动终端的变焦控制方法、装置、存储介质及移动终端
CN105915803B (zh) 一种基于传感器的拍照方法及系统
WO2018184260A1 (fr) Procédé et dispositif de correction pour image de document
CN110099219A (zh) 全景拍摄方法及相关产品
WO2021197121A1 (fr) Procédé de photographie d'images et dispositif électronique
CN114079729B (zh) 拍摄控制方法、装置、电子设备及存储介质
CN109155817B (zh) 一种拍照方法及终端
CN107888833A (zh) 一种图像拍摄方法及移动终端
CN111753606A (zh) 一种智能模型的升级方法及装置
CN107995417B (zh) 一种拍照的方法和移动终端
CN108683859A (zh) 拍照优化方法、装置、存储介质及终端设备
CN110245607A (zh) 眼球追踪方法及相关产品
WO2019218879A1 (fr) Procédé et appareil d'interaction de photographie, support de stockage et dispositif terminal

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19886370

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19886370

Country of ref document: EP

Kind code of ref document: A1