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WO2018054054A1 - Procédé de reconnaissance faciale, appareil, terminal mobile, et support de stockage informatique - Google Patents

Procédé de reconnaissance faciale, appareil, terminal mobile, et support de stockage informatique Download PDF

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Publication number
WO2018054054A1
WO2018054054A1 PCT/CN2017/082055 CN2017082055W WO2018054054A1 WO 2018054054 A1 WO2018054054 A1 WO 2018054054A1 CN 2017082055 W CN2017082055 W CN 2017082055W WO 2018054054 A1 WO2018054054 A1 WO 2018054054A1
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WIPO (PCT)
Prior art keywords
camera image
face
exposure amount
main
face region
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Ceased
Application number
PCT/CN2017/082055
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English (en)
Chinese (zh)
Inventor
胡文迪
李飞
李晶
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ZTE Corp
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ZTE Corp
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Filing date
Publication date
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Publication of WO2018054054A1 publication Critical patent/WO2018054054A1/fr
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    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene

Definitions

  • the present invention relates to the field of photographing technology, and in particular, to a method and device for recognizing a face, a mobile terminal, and a computer storage medium.
  • the face recognition algorithm has a wide range of applications in photographing and videography.
  • the face recognition algorithm can adjust the exposure strategy of the face position in real time according to the position of the face in the image, and focus according to the position of the face in the picture, thereby obtaining the person. Face-oriented, more natural photos and movies. However, for some special scenes, such as photos taken in a backlit scene, the exposure strategy of the backlight will darken the overexposed portion so that the face in the photo is dark, resulting in the face recognition algorithm not recognizing the special scene. The face of the face, in turn, can not be exposed and focus optimized for the face.
  • Embodiments of the present invention are desirable to provide a method and apparatus for face recognition, a mobile terminal, and a computer storage medium capable of accurately recognizing a face region in a main camera image in any shooting scene.
  • the embodiment of the invention provides a method for face recognition, which is applied to a mobile terminal including a main camera and a secondary camera;
  • a face region in the main camera image is identified using parameter information associated with a face region in the secondary camera image.
  • the adjusting the exposure amount of the auxiliary camera image until the recognition of the face region in the auxiliary camera image comprises:
  • auxiliary camera image is in the backlight scene, increasing the exposure amount of the secondary camera image until the face region in the secondary camera image is recognized by using a face recognition algorithm;
  • the exposure amount of the secondary camera image is reduced until the face region in the secondary camera image is recognized by the face recognition algorithm.
  • the parameter information includes: a face coordinate position in the secondary camera image or an exposure amount when the face region is recognized in the secondary camera image.
  • the parameter information when the parameter information is a face coordinate position in the secondary camera image, the parameter information related to the face region in the secondary camera image is used to identify the image in the main camera image.
  • Face area including:
  • the exposure amount at the face coordinate position in the main camera image is adjusted until the face region in the main camera image is recognized using a face recognition algorithm.
  • the parameter information when the parameter information is an exposure amount when a face region is recognized in the auxiliary camera image, the parameter information is identified by using parameter information related to a face region in the auxiliary camera image.
  • the face area in the main camera image including:
  • the method further includes:
  • the embodiment of the invention further provides a device for recognizing a face, comprising:
  • a secondary recognition module configured to adjust an exposure amount of the secondary camera image until a face region in the secondary camera image is recognized
  • the main image recognition module is configured to recognize a face region in the main camera image by using parameter information related to a face region in the auxiliary camera image.
  • the auxiliary recognition module is configured to:
  • auxiliary camera image is in the backlight scene, increasing the exposure amount of the secondary camera image until the face region in the secondary camera image is recognized by using a face recognition algorithm;
  • the exposure amount of the secondary camera image is reduced until the face region in the secondary camera image is recognized by the face recognition algorithm.
  • the parameter information includes: a face coordinate position in the secondary camera image or an exposure amount when the face region is recognized in the secondary camera image.
  • the primary recognition module is configured to:
  • the exposure amount at the face coordinate position in the main camera image is adjusted until the face region in the main camera image is recognized using a face recognition algorithm.
  • the main camera recognition module is configured to:
  • the exposure amount of the main camera image is adjusted within the set value range until the face region in the main camera image is recognized by the face recognition algorithm.
  • the apparatus further includes:
  • a photometry module configured to meter the main camera image according to a face region in the main camera image, obtain an exposure amount required by the main camera image, and compare the exposure amount to the main camera The image is adjusted.
  • the embodiment of the invention further provides a mobile terminal, which comprises the device for face recognition according to the embodiment of the invention.
  • the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the method for face recognition according to the embodiment of the present invention.
  • the method, device, mobile terminal and computer storage medium for face recognition solve the problem that a face recognition algorithm cannot be used to recognize a face region in a main camera image in a backlight scene or a glare scene.
  • different exposure strategies are used in the main camera and the auxiliary camera, and the auxiliary camera is used to adjust the exposure amount to help the main camera find the face region in the image.
  • Embodiments of the present invention can improve the range and recognition rate of a face in a main camera image under different exposure conditions.
  • FIG. 1 is a flowchart of a method for face recognition according to a first embodiment of the present invention
  • FIG. 2 is a flowchart of a method for face recognition according to a second embodiment of the present invention.
  • FIG. 3 is a flowchart of a method for face recognition according to a third embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a device for a face recognition according to a fourth embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a device for a face recognition according to a fifth embodiment of the present invention.
  • FIG. 6 is a schematic diagram showing the structure of a device for face recognition according to a sixth embodiment of the present invention.
  • a first embodiment of the present invention is a method for face recognition, which is used in a mobile terminal including a main camera and a secondary camera; as shown in FIG. 1, the following specific steps are included:
  • Step S101 Adjust the exposure amount of the secondary camera image until the face region in the secondary camera image is recognized.
  • step S101 includes:
  • auxiliary camera image is in the backlight scene, increasing the exposure amount of the secondary camera image until the face region in the secondary camera image is recognized by using a face recognition algorithm;
  • the exposure amount of the secondary camera image is reduced until the face region in the secondary camera image is recognized by the face recognition algorithm.
  • Step S102 Identify a face region in the main camera image by using parameter information related to the face region in the auxiliary camera image.
  • step S102 includes:
  • a face coordinate position in the auxiliary camera image is mapped into the main camera image by using a perspective correction algorithm to obtain the main camera.
  • a face coordinate position in the image adjusting an exposure amount at a face coordinate position in the main camera image until a face region in the main camera image is recognized by a face recognition algorithm; or
  • the exposure amount when the face region is recognized in the auxiliary camera image is used as a reference value, and is preset
  • the exposure amount of the main camera image is adjusted within the value range until the face region in the main camera image is recognized using a face recognition algorithm.
  • a second embodiment of the present invention is a method for face recognition for use in a mobile terminal including a main camera and a secondary camera; as shown in FIG. 2, the following specific steps are included:
  • Step S201 The backlight detection algorithm and the strong light detection algorithm are used to determine whether the secondary camera image is in a backlight scene or a strong light scene.
  • step S202 is performed.
  • Step S202 Adjust the exposure amount of the secondary camera image until the face region in the secondary camera image is recognized.
  • step S202 includes:
  • the exposure amount of the auxiliary camera image is gradually increased until the coordinate position of the human face in the auxiliary camera image can be recognized by using the face recognition algorithm;
  • the exposure amount of the secondary camera image is gradually reduced until the coordinate position of the face in the secondary camera image can be recognized by the face recognition algorithm.
  • the range of the exposure amount is roughly set to 25 exposure levels. For example, from the -12th exposure level to the 12th exposure level; if the auxiliary camera image is in a strong light scene, the exposure level is gradually increased from the 0 exposure level until the face recognition algorithm can be used to identify the face. The coordinate position in the camera image; if the auxiliary camera image is in a strong light scene, the exposure level is gradually reduced from the 0 exposure level until the coordinate position of the face in the auxiliary camera image can be recognized by the face recognition algorithm .
  • Step S203 Map a face coordinate position in the secondary camera image to the main camera image by using a perspective correction algorithm to obtain a face coordinate position in the main camera image.
  • Step S204 adjusting the exposure amount at the face coordinate position in the main camera image, To identify a face region in the main camera image using a face recognition algorithm.
  • Step S205 metering the main camera image according to the face region in the main camera image, obtaining an exposure amount required by the main camera image, and adjusting the main camera image according to the exposure amount.
  • step S205 includes:
  • a third embodiment of the present invention is a method for face recognition for use in a mobile terminal including a main camera and a secondary camera; as shown in FIG. 3, the following specific steps are included:
  • Step S301 The backlight detection algorithm and the strong light detection algorithm are used to determine whether the secondary camera image is in a backlight scene or a strong light scene.
  • step S302 is performed.
  • Step S302 Adjust the exposure amount of the secondary camera image until the face region in the secondary camera image is recognized.
  • step S302 includes:
  • the auxiliary camera adjusts an exposure amount of the auxiliary camera image by cyclically traversing a preset exposure table until a face region in the auxiliary camera image is recognized.
  • the preset exposure table includes a plurality of levels of exposure parameters, which are roughly set to 25 exposure levels compared to the range of values of the exposure amount of the second embodiment, the preset exposure table will be an exposure amount The range of values is divided into more precise exposure parameters.
  • Step S303 Synchronize the exposure parameters in the preset exposure table when the face region is recognized in the auxiliary camera image into the main camera image.
  • Step S304 using an exposure parameter in the preset exposure table, and the exposure parameter
  • the main camera image is adjusted by a preset number of front and rear (for example, five before and after) exposure parameters in the preset exposure table until the face region in the main camera image is recognized by the face recognition algorithm.
  • Step S305 metering the main camera image according to the face region in the main camera image, obtaining an exposure amount required by the main camera image, and adjusting the main camera image according to the exposure amount.
  • the step S305 includes:
  • a fourth embodiment of the present invention a device for recognizing a face, as shown in FIG. 4, includes the following components:
  • the auxiliary image recognition module 401 is configured to adjust an exposure amount of the auxiliary camera image until the face region in the auxiliary camera image is recognized;
  • the main image recognition module 402 is configured to recognize a face region in the main camera image by using parameter information related to a face region in the auxiliary camera image.
  • the auxiliary photo recognition module 401 is configured to:
  • auxiliary camera image is in the backlight scene, increasing the exposure amount of the secondary camera image until the face region in the secondary camera image is recognized by using a face recognition algorithm;
  • the exposure amount of the secondary camera image is reduced until the face region in the secondary camera image is recognized by the face recognition algorithm.
  • the main photo recognition module 402 is configured to:
  • the face coordinate position in the secondary camera image is mapped to the main camera image by using a perspective correction algorithm Adjusting the exposure amount at the face coordinate position in the main camera image until the face coordinate position in the main camera image is obtained, until the face in the main camera image is recognized by the face recognition algorithm Area; or,
  • the exposure amount when the face region is recognized in the auxiliary camera image is used as a reference value, and is preset
  • the exposure amount of the main camera image is adjusted within the value range until the face region in the main camera image is recognized using a face recognition algorithm.
  • a fifth embodiment of the present invention a device for recognizing a face, as shown in FIG. 5, includes:
  • the determining module 501 is configured to determine whether the secondary camera image is in a backlight scene or a strong light scene by using a backlight detection algorithm and a strong light detection algorithm. When the determination result is that the secondary camera image is in a backlight scene or a strong light scene, the auxiliary camera is triggered.
  • the auxiliary image recognition module 502 is configured to adjust an exposure amount of the auxiliary camera image until a face region in the auxiliary camera image is recognized;
  • the information synchronization module 503 is configured to map the face coordinate position in the secondary camera image to the main camera image by using a perspective correction algorithm to obtain a face coordinate position in the main camera image.
  • the main image recognition module 504 is configured to adjust an exposure amount at a face coordinate position in the main camera image until a face region in the main camera image is recognized by a face recognition algorithm.
  • auxiliary image recognition module 502 is configured to:
  • auxiliary camera image is in the backlight scene, increasing the exposure amount of the auxiliary camera image until the coordinate position of the human face in the auxiliary camera image can be recognized by using the face recognition algorithm;
  • the exposure amount of the secondary camera image is reduced until the coordinate position of the face in the secondary camera image can be recognized by the face recognition algorithm.
  • the range of the exposure amount is roughly set to 25 exposure levels; If the auxiliary camera image is in a strong light scene, the exposure level is gradually increased from the 0 exposure level until the coordinate position of the face in the auxiliary camera image can be recognized by the face recognition algorithm; if the auxiliary camera image In the glare scene, the exposure level is gradually reduced from the 0 exposure level until the coordinate position of the face in the auxiliary camera image can be recognized by the face recognition algorithm.
  • the device further includes: a photometry module 505 configured to perform photometry on the main camera image according to a face region in the main camera image to obtain an exposure required by the main camera image And adjusting the main camera image according to the exposure amount.
  • a photometry module 505 configured to perform photometry on the main camera image according to a face region in the main camera image to obtain an exposure required by the main camera image And adjusting the main camera image according to the exposure amount.
  • the photometry module 505 is configured to:
  • a sixth embodiment of the present invention a device for recognizing a face, as shown in FIG. 6, includes:
  • the determining module 601 is configured to determine whether the secondary camera image is in a backlight scene or a strong light scene by using a backlight detection algorithm and a strong light detection algorithm. When the determination result is that the secondary camera image is in a backlight scene or a strong light scene, the auxiliary camera is triggered. Identification module 602.
  • the auxiliary recognition module 602 is configured to adjust an exposure amount of the secondary camera image until a face region in the secondary camera image is recognized.
  • the main image recognition module 604 is configured to adjust the exposure parameter in the preset exposure table, and the exposure parameter adjusts the preset number of exposure parameters in the preset exposure table The main camera image until the face region in the main camera image is recognized using a face recognition algorithm.
  • auxiliary photo recognition module 602 is configured to:
  • the exposure amount of the secondary camera image is adjusted by looping through the preset exposure table until the face region in the secondary camera image is recognized.
  • the preset exposure table includes a plurality of levels of exposure parameters, which are roughly set to 25 exposure levels compared to the value range of the exposure amount with the fifth embodiment, the preset exposure table will be an exposure amount The range of values is divided into more precise exposure parameters.
  • the device further includes: a photometry module 605 configured to perform photometry on the main camera image according to a face region in the main camera image to obtain an exposure required by the main camera image And adjusting the main camera image according to the exposure amount.
  • a photometry module 605 configured to perform photometry on the main camera image according to a face region in the main camera image to obtain an exposure required by the main camera image And adjusting the main camera image according to the exposure amount.
  • the photometry module 605 is configured to:
  • a seventh embodiment of the present invention provides a mobile terminal, which includes the device for face recognition according to any one of the fourth to sixth embodiments of the present invention.
  • the method, device, mobile terminal and computer storage medium for face recognition solve the problem that a face recognition algorithm cannot be used to recognize a face region in a main camera image in a backlight scene or a glare scene.
  • different exposure strategies are used in the main camera and the auxiliary camera, and the auxiliary camera is used to adjust the exposure amount to help the main camera find the face region in the image.
  • Embodiments of the present invention can improve the range and recognition rate of a face in a main camera image under different exposure conditions.
  • the disclosed method and apparatus can be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the modules is only a logical function division.
  • there may be another division manner for example, multiple modules or components may be combined, or Can be integrated into another system, or some features can be ignored or not executed.
  • the communication connections between the various components shown or discussed may be indirect coupling or communication connections through some interfaces, devices or modules, and may be electrical, mechanical or otherwise.
  • the modules described above as separate components may or may not be physically separated.
  • the components displayed as modules may or may not be physical modules, that is, may be located in one place or distributed to multiple network modules; Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may be separately used as one module, or two or more modules may be integrated into one module;
  • the module can be implemented in the form of hardware or in the form of hardware plus software function modules.
  • the foregoing program may be stored in a computer readable storage medium, and when executed, the program includes The foregoing steps of the method embodiment; and the foregoing storage medium includes: a removable storage device, a read-only memory (ROM), a magnetic disk or an optical disk, and the like, which can store program codes.
  • ROM read-only memory
  • the above-described integrated module of the embodiment of the present invention may be stored in a computer readable storage medium if it is implemented in the form of a software function module and sold or used as a stand-alone product.
  • the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions. Enabling a computer device (which may be a personal computer, server, or network device, etc.) to perform the methods of the various embodiments of the present invention All or part.
  • the foregoing storage medium includes various media that can store program codes, such as a mobile storage device, a ROM, a magnetic disk, or an optical disk.
  • the technical solution of the embodiment of the invention solves the problem that the face recognition algorithm cannot be used to recognize the face region in the main camera image in the backlight scene or the glare scene.
  • different exposure strategies are used in the main camera and the auxiliary camera, and the auxiliary camera is used to adjust the exposure amount to help the main camera find the face region in the image.
  • Embodiments of the present invention can improve the range and recognition rate of a face in a main camera image under different exposure conditions.

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Abstract

Les modes de réalisation de la présente invention concernent un procédé de reconnaissance faciale, un appareil, un terminal mobile, et un support de stockage informatique. Le procédé consiste à : ajuster l'exposition d'une image de caméra auxiliaire jusqu'à ce qu'une zone de visage dans l'image de caméra auxiliaire soit reconnue ; et reconnaître une zone de visage dans une image de caméra principale à l'aide d'informations de paramètre relatives à la zone de visage dans l'image de caméra auxiliaire.
PCT/CN2017/082055 2016-09-23 2017-04-26 Procédé de reconnaissance faciale, appareil, terminal mobile, et support de stockage informatique Ceased WO2018054054A1 (fr)

Applications Claiming Priority (2)

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CN201610846382.9 2016-09-23
CN201610846382.9A CN107872613A (zh) 2016-09-23 2016-09-23 一种利用双摄像头进行人脸识别的方法、装置及移动终端

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CN110971812A (zh) * 2018-09-30 2020-04-07 北京微播视界科技有限公司 一种拍摄方法、装置、电子设备及存储介质
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CN112446252A (zh) * 2019-08-30 2021-03-05 华为技术有限公司 图像识别方法及电子设备
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GB2558393A (en) * 2016-11-16 2018-07-11 Motorola Mobility Llc Backlift face detection
GB2558393B (en) * 2016-11-16 2020-09-02 Motorola Mobility Llc Backlit face detection
CN110971812A (zh) * 2018-09-30 2020-04-07 北京微播视界科技有限公司 一种拍摄方法、装置、电子设备及存储介质
CN110971812B (zh) * 2018-09-30 2022-03-04 北京微播视界科技有限公司 一种拍摄方法、装置、电子设备及存储介质
CN111103922A (zh) * 2018-10-26 2020-05-05 华为技术有限公司 摄像头、电子设备和身份验证方法
CN111103922B (zh) * 2018-10-26 2023-08-25 华为技术有限公司 摄像头、电子设备和身份验证方法
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CN109919866B (zh) * 2019-02-26 2023-12-01 Oppo广东移动通信有限公司 图像处理方法、装置、介质及电子设备
CN112446252A (zh) * 2019-08-30 2021-03-05 华为技术有限公司 图像识别方法及电子设备
CN112819722A (zh) * 2021-02-03 2021-05-18 东莞埃科思科技有限公司 一种红外图像人脸曝光方法、装置、设备及存储介质

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