CN108288044B - Electronic device, face recognition method and related product - Google Patents

Electronic device, face recognition method and related product Download PDF

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Publication number
CN108288044B
CN108288044B CN201810094019.5A CN201810094019A CN108288044B CN 108288044 B CN108288044 B CN 108288044B CN 201810094019 A CN201810094019 A CN 201810094019A CN 108288044 B CN108288044 B CN 108288044B
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China
Prior art keywords
image
user
frame
camera
determining
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CN201810094019.5A
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Chinese (zh)
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CN108288044A (en
Inventor
王健
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Oppo广东移动通信有限公司
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Priority to CN201810094019.5A priority Critical patent/CN108288044B/en
Publication of CN108288044A publication Critical patent/CN108288044A/en
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Publication of CN108288044B publication Critical patent/CN108288044B/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00288Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00228Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • G06K9/2027Illumination control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/232Devices for controlling television cameras, e.g. remote control ; Control of cameras comprising an electronic image sensor
    • H04N5/23218Control of camera operation based on recognized objects
    • H04N5/23219Control of camera operation based on recognized objects where the recognized objects include parts of the human body, e.g. human faces, facial parts or facial expressions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/235Circuitry or methods for compensating for variation in the brightness of the object, e.g. based on electric image signals provided by an electronic image sensor
    • H04N5/2351Circuitry for evaluating the brightness variations of the object
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/235Circuitry or methods for compensating for variation in the brightness of the object, e.g. based on electric image signals provided by an electronic image sensor
    • H04N5/2352Combination of two or more compensation controls
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/235Circuitry or methods for compensating for variation in the brightness of the object, e.g. based on electric image signals provided by an electronic image sensor
    • H04N5/2353Circuitry or methods for compensating for variation in the brightness of the object, e.g. based on electric image signals provided by an electronic image sensor by influencing the exposure time, e.g. shutter

Abstract

The embodiment of the application discloses an electronic device, a face recognition method and a related product, comprising the following steps: when a face recognition request is detected, in the process of starting a camera, acquiring the ambient light intensity through a light sensor, and determining the automatic exposure AE initial configuration according to the ambient light intensity; shooting a user according to AE initial configuration through a camera to obtain a first frame of face image; and if the current user is identified as the user owner according to the first frame of face image, executing preset operation associated with the face identification request. According to the embodiment of the application, the process of acquiring the ambient light intensity by the parallel light sensors is used for reducing the time for face recognition processing, and the face recognition speed is favorably improved.

Description

Electronic device, face recognition method and related product

Technical Field

The present application relates to the field of electronic devices, and in particular, to an electronic device, a face recognition method, and a related product.

Background

With the widespread use of a large number of electronic devices such as smart phones, smart phones have more and more applications and more powerful functions, and smart phones are developed towards diversification and personalization directions and become indispensable electronic products in user life. Currently, electronic devices in the market mostly adopt a full-automatic exposure mode AE, that is, an exposure mode of an exposure combination (aperture and shutter) is automatically determined according to the brightness of a photographed object and the focal length of a lens. For scenes with large light and shade differences, the AE technology is difficult to meet the exposure requirements.

Disclosure of Invention

The embodiment of the application provides an electronic device, a face recognition method and a related product, aiming to reduce the processing time of face recognition and improve the face recognition speed in the process of acquiring the ambient light intensity by a parallel light sensor.

In a first aspect, an embodiment of the present application provides an electronic device, including a processor, a light sensor, and a camera, where the light sensor, the camera, and the processor are coupled, where,

the processor is used for starting the camera when a face recognition request is detected;

the light sensor is used for acquiring the ambient light intensity in the starting process of the camera;

the processor is further used for determining the initial configuration of automatic exposure AE according to the ambient light intensity;

the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image;

the processor is further configured to recognize that the current user is the householder user according to the first frame of face image, and execute a preset operation associated with the face recognition request.

In a second aspect, an embodiment of the present application provides a face recognition method, including:

when a face recognition request is detected, in the process of starting a camera, acquiring the ambient light intensity through a light sensor, and determining the automatic exposure AE initial configuration according to the ambient light intensity;

shooting a user through the camera according to the AE initial configuration to obtain a first frame of face image;

and if the current user is identified as the user owner according to the first frame of face image, executing the preset operation associated with the face identification request.

In a third aspect, an embodiment of the present application provides a face recognition apparatus, including an obtaining unit, a determining unit, a shooting unit, and an executing unit, wherein,

the acquisition unit is used for acquiring the ambient light intensity through the light sensor in the process of starting the camera when the face recognition request is detected;

the determining unit is used for determining the initial configuration of automatic exposure AE according to the ambient light intensity;

the shooting unit is used for shooting a user according to the AE initial configuration through the camera to obtain a first frame of face image;

and the execution unit is used for executing the preset operation associated with the face recognition request if the current user is identified as the householder user according to the first frame of face image.

In a fourth aspect, embodiments of the present application provide an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing the steps of any of the methods of the second aspect of the embodiments of the present application.

In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute some or all of the steps described in any one of the methods of the second aspect of the present application, and the computer includes an electronic device.

In a sixth aspect, the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the steps as described in any one of the methods of the second aspect of the embodiments of the present application. The computer program product may be a software installation package, said computer comprising electronic means.

It can be seen that, in the embodiment of the application, when the electronic device detects a face recognition request, in the process of starting the camera, the light sensor is used for obtaining the ambient light intensity, the automatic exposure AE initial configuration is determined according to the ambient light intensity, then, the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image, and finally, if the current user is identified as a householder user according to the first frame of face image, the preset operation associated with the face recognition request is executed. Because the camera opening process only needs several hundred milliseconds, and the light sensor only needs dozens of milliseconds to gather the ambient light intensity, so opening the camera in-process and gathering the ambient light intensity process by the light sensor in parallel, can wholly reduce the light sensor and handle the length of time, improve face identification speed.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 2 is a schematic flow chart of a face recognition method disclosed in the embodiment of the present application;

fig. 3 is a schematic flow chart of another face recognition method disclosed in the embodiment of the present application;

fig. 4 is a schematic flow chart of another face recognition method disclosed in the embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application;

fig. 6 is a block diagram illustrating functional units of an electronic device according to an embodiment of the present disclosure.

Detailed Description

In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," and the like in the description and claims of the present application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The electronic device according to the embodiment of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like. For convenience of description, the above-mentioned apparatuses are collectively referred to as electronic devices.

The electronic device described in the embodiment of the application is provided with the face image acquisition device, and the face image acquisition device can be a general camera module, such as a front camera. The following describes embodiments of the present application in detail.

Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, where the electronic device 100 includes: the device comprises a shell, a touch display screen, a main board, a battery and an auxiliary board, wherein the main board is provided with a processor 110, a memory 120, a camera 130, a light sensor 140, a SIM card slot and the like, the auxiliary board is provided with a vibrator, an integrated sound cavity and a VOOC flash charging interface, the light sensor 140 and the camera 130 are coupled with the processor 110, wherein,

the processor 110 is configured to start the camera when a face recognition request is detected;

the light sensor 140 is configured to obtain an ambient light intensity during the starting process of the camera 130;

the Light Sensor 140 is also called a Light Sensor.

The processor 110 is further configured to determine an automatic exposure AE initial configuration according to the ambient light intensity;

the camera 130 is configured to capture a first frame of face image of a user according to the AE initial configuration;

the processor 110 is further configured to recognize that the current user is the householder user according to the first frame of face image, and execute a preset operation associated with the face recognition request.

The AE refers to the amount of light entering the lens and irradiating the photosensitive element during shooting, and is controlled by the combination of the aperture, the shutter and the sensitivity, and specifically, the electronic device automatically adjusts the exposure amount according to the intensity of light, i.e., the ambient light intensity, so as to prevent overexposure or underexposure, but errors can occur when the scene contrast is large (such as a stage scene). The AE initial configuration may specifically be exposure light intensity and/or light burst time. The Exposure light intensity may be indicated by an (EV) value.

The face recognition request may be triggered by a user clicking a power key of the electronic device, or by a user touching a display screen of the electronic device, or triggered by starting a function or an application, which is not limited herein.

In the concrete implementation, when the electronic device detects a face recognition request, the electronic device notifies the camera application program to start the camera, and simultaneously obtains the environmental light intensity of the current environment detected by the light sensor, the light sensor can be a normally open sensor, and practical experiments find that the time length when the camera application program starts the camera is about 800 milliseconds, and the time length when the environmental light intensity detected by the light sensor is more than 60 milliseconds, and the time length of the AE initial configuration is determined to be about 20 milliseconds according to the environmental light intensity, that is, before the camera is started and completed through parallel connection, the electronic device can determine the accurate AE initial configuration.

The processor 110 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, and performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 120 and calling data stored in the memory 120, thereby performing overall monitoring of the electronic device. Alternatively, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor may not be integrated into the processor 110. The memory 120 may be used to store software programs and modules, and the processor 110 executes various functional applications and data processing of the electronic device by operating the software programs and modules stored in the memory 120. The memory 120 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

It can be seen that, in the embodiment of the application, when the electronic device detects a face recognition request, in the process of starting the camera, the light sensor is used for obtaining the ambient light intensity, the automatic exposure AE initial configuration is determined according to the ambient light intensity, then, the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image, and finally, if the current user is identified as a householder user according to the first frame of face image, the preset operation associated with the face recognition request is executed. Because the camera opening process only needs several hundred milliseconds, and the light sensor only needs dozens of milliseconds to gather the ambient light intensity, so opening the camera in-process and gathering the ambient light intensity process by the light sensor in parallel, can wholly reduce the light sensor and handle the length of time, improve face identification speed.

In one possible example, the processor 110 is further configured to: determining the center position of the face in the first frame of face image according to the condition that the current user is not identified as the user owner in the first frame of face image; and is used for confirming the area of reference image according to the central position of said human face; and for determining a luminance mean of the reference image region; the AE initial configuration is adjusted according to the brightness mean value to obtain an AE target configuration;

the camera 130 is further configured to capture a second frame of face images of the user according to the AE target configuration;

the processor 110 is further configured to recognize that the current user is the householder user according to the second frame of face image, and execute a preset operation associated with the face recognition request.

In a possible example, the processor 110 is further configured to determine a position of a face center point in the first frame face image before recognizing that the current user is the owner user according to the first frame face image; the reference brightness of the face area is determined according to the position of the face central point; and the reference brightness is detected to be in a preset brightness interval.

In this possible example, the processor 110 is further configured to: detecting that the reference brightness is not in a preset brightness interval, and determining the AE compensation configuration of the face area; and means for determining an AE target configuration from the AE compensation configuration and the AE initial configuration;

the camera 130 is further configured to capture a second frame of face images of the user according to the AE target configuration;

the processor 110 is further configured to recognize that the current user is the householder user according to the second frame of face image, and execute a preset operation associated with the face recognition request.

In one possible example, the preset operation associated with the face recognition request at least includes any one of the following: unlocking, payment and application starting.

Referring to fig. 2, fig. 2 is a schematic flow chart of a face recognition method applied to an electronic device according to an embodiment of the present application, where as shown in the figure, the face recognition method includes:

s201, when the electronic device detects a face recognition request, in the process of starting a camera, acquiring ambient light intensity through a light sensor, and determining Automatic Exposure (AE) initial configuration according to the ambient light intensity;

the AE refers to the amount of light entering the lens and irradiating the photosensitive element during shooting, and is controlled by the combination of the aperture, the shutter and the sensitivity, and specifically, the electronic device automatically adjusts the exposure amount according to the intensity of light, i.e., the ambient light intensity, so as to prevent overexposure or underexposure, but errors can occur when the scene contrast is large (such as a stage scene). The AE initial configuration may specifically be exposure light intensity and/or light burst time. The Exposure light intensity may be indicated by an (EV) value.

The face recognition request may be triggered by a user clicking a power key of the electronic device, or by a user touching a display screen of the electronic device, or triggered by starting a function or an application, which is not limited herein.

In the concrete implementation, when the electronic device detects a face recognition request, the electronic device notifies the camera application program to start the camera, and simultaneously obtains the environmental light intensity of the current environment detected by the light sensor, the light sensor can be a normally open sensor, and practical experiments find that the time length when the camera application program starts the camera is about 800 milliseconds, and the time length when the environmental light intensity detected by the light sensor is more than 60 milliseconds, and the time length of the AE initial configuration is determined to be about 20 milliseconds according to the environmental light intensity, that is, before the camera is started and completed through parallel connection, the electronic device can determine the accurate AE initial configuration.

S202, the electronic device shoots a user through the camera according to the AE initial configuration to obtain a first frame of face image;

and S203, if the electronic device identifies that the current user is the householder user according to the first frame of face image, executing the preset operation associated with the face identification request.

The specific implementation manner of identifying that the current user is the owner user may be: and the first frame face image is matched with a pre-stored template face image of the householder user.

It can be seen that, in the embodiment of the application, when the electronic device detects a face recognition request, in the process of starting the camera, the light sensor is used for obtaining the ambient light intensity, the automatic exposure AE initial configuration is determined according to the ambient light intensity, then, the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image, and finally, if the current user is identified as a householder user according to the first frame of face image, the preset operation associated with the face recognition request is executed. Because the camera opening process only needs several hundred milliseconds, and the light sensor only needs dozens of milliseconds to gather the ambient light intensity, so opening the camera in-process and gathering the ambient light intensity process by the light sensor in parallel, can wholly reduce the light sensor and handle the length of time, improve face identification speed.

In one possible example, the method further comprises: if the electronic device does not recognize that the current user is the householder user according to the first frame of face image, determining the face center position in the first frame of face image; determining a reference image area according to the center position of the face; determining a luminance mean value of the reference image area; adjusting the AE initial configuration according to the brightness mean value to obtain an AE target configuration; shooting a user through the camera according to the AE target configuration to obtain a second frame of face image; and if the current user is identified as the user owner according to the second frame of face image, executing the preset operation associated with the face identification request.

The reference image region determined according to the face center position may be an image region including a face image area larger than a preset area threshold, or an image region including a face image area larger than a preset ratio threshold, which is not limited herein.

As can be seen, in this example, for scenes that are likely to cause face images to be under-exposed or over-exposed, such as backlight shooting, the electronic device can determine a brightness mean value of a reference image region including a face image, and correct an AE initial configuration according to the brightness mean value to obtain a second frame of face images with more moderate exposure by shooting, and identify a user identity according to the second frame of face images, which is beneficial to improving the success rate and accuracy of face identification of the electronic device.

In a possible example, before the current user is identified as the user owner user according to the first frame of face image, the method further includes: determining the position of a face central point in the first frame of face image; determining the reference brightness of a face area according to the position of the face central point; and detecting that the reference brightness is in a preset brightness interval.

The preset brightness interval may be determined by a pre-stored template face image, or determined by a face image in a face recognition success record, which is not limited herein.

Therefore, in this example, before performing image comparison, the electronic device may analyze the reference brightness of the face region of the currently-photographed first frame of face image, so as to ensure that the exposure of the first frame of face image is suitable for performing image comparison, which is beneficial to improving the accuracy of face recognition of the electronic device.

In this possible example, the method further comprises: the electronic device detects that the reference brightness is not in a preset brightness interval, and determines the AE compensation configuration of the face area; determining an AE target configuration according to the AE compensation configuration and the AE initial configuration; shooting a user through the camera according to the AE target configuration to obtain a second frame of face image; and if the current user is identified as the user owner according to the second frame of face image, executing the preset operation associated with the face identification request.

The AE compensation is an exposure control method, which is usually about ± 2-3EV, and if the ambient light source is dark, the exposure value (e.g. adjusted to +1EV or +2EV) can be increased to highlight the definition of the image. Exposure compensation is a shooting method of changing the "proper" exposure parameters automatically calculated by the camera intentionally to make the picture brighter or darker. The photographer can adjust the brightness of the photo according to the own idea, create unique visual effect, and the like. Generally, the camera adjusts the exposure value by changing the aperture value or the shutter speed.

As can be seen, in this example, for the case that the reference brightness is not in the preset brightness interval, the electronic device may determine the AE target configuration through the AE compensation configuration of the face area, further shoot the user according to the AE target configuration through the camera to obtain the second frame of face image, and finally identify the user identity according to the second frame of face image, which is beneficial to improving the accuracy of face identification of the electronic device.

In one possible example, the preset operation associated with the face recognition request at least includes any one of the following: unlocking, payment and application starting.

The unlocking comprises screen-on unlocking or screen-off unlocking and the like, the payment comprises large payment or small payment, and the application enables the corresponding application to comprise a system application or a third-party application of the electronic device.

Therefore, in this example, the electronic device determines the user identity through face recognition, and then completes the preset operation, thereby improving the safety and accuracy of the electronic device executing the operation.

Referring to fig. 3, fig. 3 is a schematic flow chart of a face recognition method provided in an embodiment of the present application, and the face recognition method is applied to an electronic device, and as shown in the figure, the face recognition method includes:

s301, when the electronic device detects a face recognition request, in the process of starting a camera, acquiring ambient light intensity through a light sensor, and determining automatic exposure AE initial configuration according to the ambient light intensity;

s302, the electronic device shoots a user through the camera according to the AE initial configuration to obtain a first frame of face image;

and S303, if the electronic device identifies that the current user is the householder user according to the first frame of face image, executing the preset operation associated with the face identification request.

S304, if the electronic device does not recognize that the current user is the user owner according to the first frame of face image, determining the face center position in the first frame of face image;

s305, the electronic device determines a reference image area according to the center position of the face;

s306, the electronic device determines the brightness mean value of the reference image area;

s307, the electronic device adjusts the AE initial configuration according to the brightness mean value to obtain an AE target configuration;

s308, the electronic device shoots a user through the camera according to the AE target configuration to obtain a second frame of face image;

s309, if the electronic device identifies that the current user is the householder user according to the second frame of face image, executing the preset operation associated with the face identification request.

It can be seen that, in the embodiment of the application, when the electronic device detects a face recognition request, in the process of starting the camera, the light sensor is used for obtaining the ambient light intensity, the automatic exposure AE initial configuration is determined according to the ambient light intensity, then, the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image, and finally, if the current user is identified as a householder user according to the first frame of face image, the preset operation associated with the face recognition request is executed. Because the camera opening process only needs several hundred milliseconds, and the light sensor only needs dozens of milliseconds to gather the ambient light intensity, so opening the camera in-process and gathering the ambient light intensity process by the light sensor in parallel, can wholly reduce the light sensor and handle the length of time, improve face identification speed.

In addition, aiming at scenes such as backlight shooting and the like which easily cause insufficient exposure or overexposure of the face image, the electronic device can determine the brightness mean value of a reference image area comprising the face image, correct AE initial configuration according to the brightness mean value so as to shoot a second frame of face image with more moderate exposure, and identify the user identity according to the second frame of face image, so that the success rate and the accuracy of face identification of the electronic device are improved.

Referring to fig. 4, fig. 4 is a schematic flow chart of a face recognition method provided in an embodiment of the present application, and the face recognition method is applied to an electronic device, and as shown in the figure, the face recognition method includes:

s401, when the electronic device detects a face recognition request, in the process of starting a camera, acquiring ambient light intensity through a light sensor, and determining automatic exposure AE initial configuration according to the ambient light intensity;

s402, the electronic device shoots a user through the camera according to the AE initial configuration to obtain a first frame of face image;

s403, the electronic device determines the position of a face center point in the first frame of face image;

s404, the electronic device determines the reference brightness of a face area according to the position of the face center point;

s405, the electronic device detects that the reference brightness is in a preset brightness interval.

And S406, if the electronic device identifies that the current user is the householder user according to the first frame of face image, executing the preset operation associated with the face identification request.

S407, the electronic device detects that the reference brightness is not in a preset brightness interval, and determines AE compensation configuration of the face area;

s408, the electronic device determines an AE target configuration according to the AE compensation configuration and the AE initial configuration;

s409, the electronic device shoots a user through the camera according to the AE target configuration to obtain a second frame of face image;

and S4010, if the electronic device identifies that the current user is the owner user according to the second frame of face image, executing a preset operation associated with the face identification request.

It can be seen that, in the embodiment of the application, when the electronic device detects a face recognition request, in the process of starting the camera, the light sensor is used for obtaining the ambient light intensity, the automatic exposure AE initial configuration is determined according to the ambient light intensity, then, the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image, and finally, if the current user is identified as a householder user according to the first frame of face image, the preset operation associated with the face recognition request is executed. Because the camera opening process only needs several hundred milliseconds, and the light sensor only needs dozens of milliseconds to gather the ambient light intensity, so opening the camera in-process and gathering the ambient light intensity process by the light sensor in parallel, can wholly reduce the light sensor and handle the length of time, improve face identification speed.

In addition, before image comparison, the electronic device can analyze the reference brightness of the face area of the currently shot first frame of face image, so that the exposure of the first frame of face image is ensured to be suitable for image comparison, and the accuracy of face recognition of the electronic device is improved.

In addition, aiming at the condition that the reference brightness is not in the preset brightness interval, the electronic device can determine the AE target configuration through the AE compensation configuration of the face area, then the camera shoots the user according to the AE target configuration to obtain a second frame face image, and finally the user identity is recognized according to the second frame face image, so that the accuracy of face recognition of the electronic device is improved.

Consistent with the embodiments shown in fig. 2, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing the following steps;

when a face recognition request is detected, in the process of starting a camera, acquiring the ambient light intensity through a light sensor, and determining the automatic exposure AE initial configuration according to the ambient light intensity;

shooting a user through the camera according to the AE initial configuration to obtain a first frame of face image;

and if the current user is identified as the user owner according to the first frame of face image, executing the preset operation associated with the face identification request.

It can be seen that, in the embodiment of the application, when the electronic device detects a face recognition request, in the process of starting the camera, the light sensor is used for obtaining the ambient light intensity, the automatic exposure AE initial configuration is determined according to the ambient light intensity, then, the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image, and finally, if the current user is identified as a householder user according to the first frame of face image, the preset operation associated with the face recognition request is executed. Because the camera opening process only needs several hundred milliseconds, and the light sensor only needs dozens of milliseconds to gather the ambient light intensity, so opening the camera in-process and gathering the ambient light intensity process by the light sensor in parallel, can wholly reduce the light sensor and handle the length of time, improve face identification speed.

In one possible example, the program further includes instructions for: if the current user is not identified as the user owner according to the first frame of face image, determining the face center position in the first frame of face image; and is used for confirming the area of reference image according to the central position of said human face; and for determining a luminance mean of the reference image region; the AE initial configuration is adjusted according to the brightness mean value to obtain an AE target configuration; the camera is used for shooting a user according to the AE target configuration to obtain a second frame of face image; and the preset operation associated with the face recognition request is executed if the current user is recognized as the user owner according to the second frame of face image.

In one possible example, the program further includes instructions for: determining the position of a face center point in the first frame of face image before the current user is identified as a user owner according to the first frame of face image; the reference brightness of the face area is determined according to the position of the face central point; and the reference brightness is detected to be in a preset brightness interval.

In one possible example, the program further includes instructions for: detecting that the reference brightness is not in a preset brightness interval, and determining the AE compensation configuration of the face area; and means for determining an AE target configuration from the AE compensation configuration and the AE initial configuration; the camera is used for shooting a user according to the AE target configuration to obtain a second frame of face image; and the preset operation associated with the face recognition request is executed if the current user is recognized as the user owner according to the second frame of face image.

In one possible example, the preset operation associated with the face recognition request at least includes any one of the following: unlocking, payment and application starting.

Consistent with the above embodiments, fig. 6 is a block diagram of functional units of a face recognition apparatus 600 applied to an electronic device according to an embodiment of the present application, and the face recognition apparatus includes an obtaining unit 601, a determining unit 602, a shooting unit 603, and an executing unit 604, wherein,

the acquiring unit 601 is configured to acquire ambient light intensity through a light sensor in a process of starting a camera when a face recognition request is detected;

the determining unit 602 is configured to determine an automatic exposure AE initial configuration according to the ambient light intensity;

the shooting unit 603 is configured to shoot a user through the camera according to the AE initial configuration to obtain a first frame of face image;

the executing unit 604 is configured to execute a preset operation associated with the face recognition request if the current user is identified as the householder user according to the first frame of face image.

It can be seen that, in the embodiment of the application, when the electronic device detects a face recognition request, in the process of starting the camera, the light sensor is used for obtaining the ambient light intensity, the automatic exposure AE initial configuration is determined according to the ambient light intensity, then, the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image, and finally, if the current user is identified as a householder user according to the first frame of face image, the preset operation associated with the face recognition request is executed. Because the camera opening process only needs several hundred milliseconds, and the light sensor only needs dozens of milliseconds to gather the ambient light intensity, so opening the camera in-process and gathering the ambient light intensity process by the light sensor in parallel, can wholly reduce the light sensor and handle the length of time, improve face identification speed.

In one possible example, the determining unit 602 is further configured to: if the current user is not identified as the user owner according to the first frame of face image, determining the face center position in the first frame of face image; and is used for confirming the area of reference image according to the central position of said human face; and for determining a luminance mean of the reference image region;

the face recognition device 600 further includes an adjusting unit, which is configured to adjust the AE initial configuration according to the brightness mean value to obtain an AE target configuration;

the shooting unit 603 is further configured to shoot a user through the camera according to the AE target configuration to obtain a second frame of face image;

the executing unit 604 is further configured to execute a preset operation associated with the face recognition request if the current user is identified as the user owner according to the second frame of face image.

In one possible example, before the executing unit 604 identifies that the current user is the owner user according to the first frame of face image, the determining unit 602 is further configured to: determining the position of a face central point in the first frame of face image; the reference brightness of the face area is determined according to the position of the face central point;

the face recognition apparatus 600 further includes a detection unit, configured to detect that the reference brightness is in a preset brightness interval.

In this possible example, the detecting unit is further configured to detect that the reference brightness is not in a preset brightness interval;

the determining unit 602 is further configured to determine an AE compensation configuration of the face region; and means for determining an AE target configuration from the AE compensation configuration and the AE initial configuration;

the shooting unit 603 is further configured to shoot a user through the camera according to the AE target configuration to obtain a second frame of face image;

the executing unit 604 is further configured to execute a preset operation associated with the face recognition request if the current user is identified as the user owner according to the second frame of face image.

In one possible example, the preset operation associated with the face recognition request at least includes any one of the following: unlocking, payment and application starting.

It should be noted that the electronic device described in the embodiments of the present application is in the form of a functional unit. The term "unit" as used herein is to be understood in its broadest possible sense, and objects used to implement the functions described by the respective "unit" may be, for example, an integrated circuit ASIC, a single circuit, a processor (shared, dedicated, or chipset) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that provide the described functionality.

The acquiring unit 601 may be a receiver, the determining unit 602 and the executing unit 604 may be processors, and the capturing unit 603 may be a camera.

Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causes a computer to execute part or all of the steps of any one of the methods described in the method embodiments, and the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as recited in the method embodiments. The computer program product may be a software installation package, said computer comprising electronic means.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (11)

1. An electronic device comprising a processor, a light sensor, a camera, the light sensor, the camera and the processor being coupled, wherein,
the processor is used for starting the camera when a face recognition request is detected;
the light sensor is used for acquiring the ambient light intensity in the starting process of the camera, wherein the processor informs a camera application program to start the camera when detecting a face recognition request and simultaneously acquires the ambient light intensity of the current environment detected by the light sensor, wherein the light sensor is a normally open sensor;
the processor is further used for determining the initial configuration of automatic exposure AE according to the ambient light intensity;
the camera is used for shooting a user according to the AE initial configuration to obtain a first frame of face image;
the processor is further configured to identify that the current user is a householder user according to the first frame of face image, and execute a preset operation associated with the face identification request;
wherein the processor is further configured to: determining the center position of the face in the first frame of face image according to the condition that the current user is not identified as the user owner in the first frame of face image; and is used for confirming the area of reference image according to the central position of said human face; and for determining a luminance mean of the reference image region; the AE initial configuration is adjusted according to the brightness mean value to obtain an AE target configuration;
the camera is also used for shooting a user according to the AE target configuration to obtain a second frame of face image;
and the processor is further used for identifying that the current user is the householder user according to the second frame of face image and executing the preset operation associated with the face identification request.
2. The electronic device according to claim 1, wherein the processor is further configured to determine a position of a center point of a face in the first frame of face image before recognizing that the current user is the user of the home according to the first frame of face image; the reference brightness of the face area is determined according to the position of the face central point; and the reference brightness is detected to be in a preset brightness interval.
3. The electronic device of claim 2, wherein the processor is further configured to: detecting that the reference brightness is not in a preset brightness interval, and determining the AE compensation configuration of the face area; and means for determining an AE target configuration from the AE compensation configuration and the AE initial configuration;
the camera is also used for shooting a user according to the AE target configuration to obtain a second frame of face image;
and the processor is further used for identifying that the current user is the householder user according to the second frame of face image and executing the preset operation associated with the face identification request.
4. The electronic device according to any one of claims 1 to 3, wherein the preset operation associated with the face recognition request at least includes any one of the following operations: unlocking, payment and application starting.
5. A face recognition method, comprising:
when a face recognition request is detected, in the process of starting a camera, acquiring ambient light intensity through a light sensor, and determining automatic exposure AE initial configuration according to the ambient light intensity, wherein when the face recognition request is detected, a camera application program is informed to start the camera, and the ambient light intensity of the current environment detected by the light sensor is acquired at the same time, wherein the light sensor is a normally open sensor;
shooting a user through the camera according to the AE initial configuration to obtain a first frame of face image;
if the current user is identified as the user owner according to the first frame of face image, executing the preset operation associated with the face identification request;
if the current user is not identified as the user owner according to the first frame of face image, determining the face center position in the first frame of face image;
determining a reference image area according to the center position of the face;
determining a luminance mean value of the reference image area;
adjusting the AE initial configuration according to the brightness mean value to obtain an AE target configuration;
shooting a user through the camera according to the AE target configuration to obtain a second frame of face image;
and if the current user is identified as the user owner according to the second frame of face image, executing the preset operation associated with the face identification request.
6. The method of claim 5, wherein if the current user is identified as the owner user based on the first frame of facial image, the method further comprises:
determining the position of a face central point in the first frame of face image;
determining the reference brightness of a face area according to the position of the face central point;
and detecting that the reference brightness is in a preset brightness interval.
7. The method of claim 6, further comprising:
detecting that the reference brightness is not in a preset brightness interval, and determining the AE compensation configuration of the face area;
determining an AE target configuration according to the AE compensation configuration and the AE initial configuration;
shooting a user through the camera according to the AE target configuration to obtain a second frame of face image;
and if the current user is identified as the user owner according to the second frame of face image, executing the preset operation associated with the face identification request.
8. The method according to any one of claims 5 to 7, wherein the preset operation associated with the face recognition request at least comprises any one of the following operations: unlocking, payment and application starting.
9. A face recognition device is characterized by comprising an acquisition unit, a determination unit, a shooting unit, an execution unit and an adjustment unit,
the device comprises an acquisition unit and a control unit, wherein the acquisition unit is used for acquiring the ambient light intensity through a light sensor in the process of starting a camera when a face recognition request is detected, the acquisition unit informs a camera application program to start the camera when the face recognition request is detected, and meanwhile, the acquisition unit acquires the ambient light intensity of the current environment detected by the light sensor, wherein the light sensor is a normally open sensor;
the determining unit is used for determining the initial configuration of automatic exposure AE according to the ambient light intensity;
the shooting unit is used for shooting a user according to the AE initial configuration through the camera to obtain a first frame of face image;
the execution unit is used for executing the preset operation associated with the face recognition request if the current user is identified as the householder user according to the first frame of face image;
the determining unit is further configured to determine a face center position in the first frame of face image if the current user is not identified as the householder user according to the first frame of face image; and is used for confirming the area of reference image according to the central position of said human face; and for determining a luminance mean of the reference image region;
the adjusting unit is used for adjusting the AE initial configuration according to the brightness mean value to obtain an AE target configuration;
the shooting unit is also used for shooting a user according to the AE target configuration through the camera to obtain a second frame of face image;
and the execution unit is also used for identifying that the current user is the householder user according to the second frame of face image and executing the preset operation associated with the face identification request.
10. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 5-8.
11. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 5-8, the computer comprising an electronic device.
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