WO2019149099A1

WO2019149099A1 - Electronic device, human face recognition method, and relevant product

Info

Publication number: WO2019149099A1
Application number: PCT/CN2019/072485
Authority: WO
Inventors: 王健
Original assignee: Oppo广东移动通信有限公司
Priority date: 2018-01-31
Filing date: 2019-01-21
Publication date: 2019-08-08
Also published as: CN108288044A; CN108288044B

Abstract

An electronic device, a human face recognition method, and a relevant product. The method comprises: when a human face recognition request is detected, acquiring an ambient light intensity, by means of a light sensor, in the process of starting a camera, and determining an inital automatic exposure (AE) configuration according to the ambient light intensity (S201); photographing, by means of the camera, a user to obtain a first frame of a human face image according to the initial AE configuration (S202); and if the current user is recognized to be a householder user according to the first frame of a human face image, executing a pre-set operation associated with the human face recognition request (S203). The process of collecting an ambient light intensity by means of a parallel light sensor reduces the time duration of human face recognition processing, and facilitates the improvement of the human face recognition speed.

Description

Electronic device, face recognition method and related products

Technical field

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

Background technique

With the widespread use of electronic devices such as smart phones, smart phones can support more and more applications, and their functions are becoming more and more powerful. Smartphones are developing in a diversified and personalized way, becoming an indispensable electronic product in user life. . At present, the electronic device on the market mostly adopts the automatic exposure mode AE, that is, an exposure mode that automatically determines the exposure combination (aperture*shutter) according to the brightness of the target and the focal length of the lens. For scenes with large differences in brightness and darkness, AE technology is difficult to meet the exposure needs.

Summary of the invention

The embodiment of the present application provides an electronic device, a face recognition method, and related products, in order to reduce the face recognition processing time and improve the face recognition speed by collecting the ambient light intensity process by the 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, wherein

The processor, when detecting a face recognition request, turning on the camera;

The light sensor is configured to acquire an ambient light intensity during the opening process of the camera;

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

The camera is configured to obtain a first frame face image according to the AE initial configuration shooting user;

The processor is further configured to: according to the first frame face image, identify that the current user is a primary user, and perform a preset operation associated with the face recognition request.

In a second aspect, the embodiment of the present application provides a method for recognizing a face, including:

When the face recognition request is detected, in the process of turning on the camera, the ambient light intensity is acquired by the light sensor, and the initial configuration of the automatic exposure AE is determined according to the ambient light intensity;

Obtaining, by the camera, the first frame face image according to the AE initial configuration shooting user;

If the current user is identified as the primary user according to the first frame face image, the preset operation associated with the face recognition request is performed.

In a third aspect, the embodiment of the present application provides a face recognition device, including an acquiring unit, a determining unit, a shooting unit, and an executing unit, where

The acquiring unit, when detecting the face recognition request, acquires the ambient light intensity through the light sensor during the process of turning on the camera;

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

The photographing unit is configured to obtain a first frame face image by the user according to the AE initial configuration by the camera;

The executing unit is configured to perform a preset operation associated with the face recognition request if the current user is the home owner user according to the first frame face image.

In a fourth aspect, an embodiment of the present application provides 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 by The processor executes, the program comprising instructions for performing the steps in any of the methods of the second aspect of the embodiments of the present application.

In a fifth aspect, the embodiment of 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 the computer to execute as implemented in the present application. In some or all of the steps described in any of the methods of the second aspect, the computer comprises an electronic device.

In a sixth aspect, an embodiment of the present application provides a computer program product, where the computer program product includes a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to execute Apply some or all of the steps described in any of the methods of the second aspect of the embodiments. The computer program product can be a software installation package, the computer including an electronic device.

It can be seen that, in the embodiment of the present application, when the electronic device detects the face recognition request, in the process of turning on the camera, the ambient light intensity is acquired by the light sensor, the initial configuration of the automatic exposure AE is determined according to the ambient light intensity, and secondly, the camera is passed. The user obtains the first frame face image according to the AE initial configuration shooting. Finally, if the current user is the home owner user according to the first frame face image, the preset operation associated with the face recognition request is performed. Since the camera opening process takes several hundred milliseconds, the light sensor only needs tens of milliseconds to collect the ambient light intensity. Therefore, when the parallel light sensor collects the ambient light intensity during the process of turning on the camera, the processing time of the light sensor can be reduced overall, and the face recognition speed can be improved.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative work for those skilled in the art.

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

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

FIG. 3 is a schematic flowchart diagram of another face recognition method disclosed in an embodiment of the present application; FIG.

4 is a schematic flowchart diagram of another face recognition method disclosed in an 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.

FIG. 6 is a structural block diagram of a functional unit of an electronic device disclosed in an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present application. It is a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

The terms "first", "second" and the like in the specification and claims of the present application and the drawings are used to distinguish different objects, and are not intended to describe a particular order. Furthermore, the terms "comprises" and "comprising" and "comprising" are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device that comprises a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units not listed, or alternatively Other steps or units inherent to these processes, methods, products, or equipment.

References to "an embodiment" herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application. The appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.

The electronic device involved in the embodiments of the present application may include various handheld devices having wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to the wireless modem, and various forms of user devices (User Equipment, UE), mobile station (MS), terminal device, and the like. For convenience of description, the devices mentioned above are collectively referred to as electronic devices.

The electronic device described in the embodiment of the present application is provided with a face image capturing device, and the face image collecting device may be a universal camera module, such as a front camera. The embodiments of the present application are described in detail below.

Please refer to FIG. 1 . FIG. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application. The electronic device 100 includes a housing, a touch display screen, a main board, a battery, and a sub board. The device 110, the memory 120, the camera 130, the light sensor 140, the SIM card slot, etc., the sub-board is provided with a vibrator, an integrated sound chamber, a VOOC flash charging interface, the light sensor 140, the camera 130 and the processor 110 Coupling, where

The processor 110 is configured to enable the camera when detecting a face recognition request;

The light sensor 140 is configured to acquire an ambient light intensity during the opening process of the camera 130;

The light sensor 140 is also referred to as a brightness sensor Light Sensor.

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

The camera 130 is configured to: according to the AE initial configuration, the user obtains the first frame face image;

The processor 110 is further configured to: according to the first frame face image, identify that the current user is a primary user, and perform a preset operation associated with the face recognition request.

Among them, AE refers to the amount of light that enters the lens on the photosensitive element during the shooting process, and is controlled by a combination of aperture, shutter, and sensitivity. Specifically, the electronic device automatically adjusts the exposure according to the intensity of the light, that is, the ambient light intensity, to prevent the exposure. Overexposed or insufficient, but errors occur when the scene contrast is large (such as the scene of the stage). The initial configuration of the AE may specifically be an exposure light intensity and/or a light explosion time. Among them, the exposure light intensity can be indicated by the (Exposure Values, EV) value.

The face recognition request may be triggered by the user clicking the power button of the electronic device, or triggered by the display screen of the user's touch electronic device, or triggered by opening a certain function or application, which is not limited herein.

In a specific implementation, when detecting the face recognition request, the electronic device notifies the camera application to enable the camera, and simultaneously acquires the ambient light intensity of the current environment detected by the light sensor, and the light sensor may be a normally open sensor. The camera application enables the duration of the camera to be approximately 800 milliseconds, and the ambient light intensity detected by the light sensor is greater than 60 milliseconds, and the initial configuration time of the AE is determined to be approximately 20 milliseconds according to the ambient light intensity, that is, through parallelism. Before the camera is enabled, the electronic device can determine the accurate initial configuration of the AE. Compared with the existing solution, the electronic device needs to determine the accurate initial configuration of the AE in the first 3 frames, which effectively reduces the processing time and improves the real-time performance.

The processor 110 is a control center of the electronic device, and connects various parts of the entire electronic device by using various interfaces and lines, by running or executing software programs and/or modules stored in the memory 120, and calling and storing in the memory 120. The data, performing various functions of the electronic device and processing data, thereby performing overall monitoring of the electronic device. Optionally, the processor 110 can integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, an application, and the like, and the modem processor mainly processes the wireless communication. It will be appreciated that the modem processor may also not be integrated into the processor 110. The memory 120 can be used to store software programs and modules, and the processor 110 executes various functional applications and data processing of the electronic devices by running 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 required for at least one function, and the like; the storage data area may store data created according to usage of the electronic device or the like. Moreover, memory 120 can include high speed random access memory, and can 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 present application, when the electronic device detects the face recognition request, in the process of turning on the camera, the ambient light intensity is acquired by the light sensor, the initial configuration of the automatic exposure AE is determined according to the ambient light intensity, and secondly, the camera is passed. The user obtains the first frame face image according to the AE initial configuration shooting. Finally, if the current user is the home owner user according to the first frame face image, the preset operation associated with the face recognition request is performed. Since the camera opening process takes several hundred milliseconds, the light sensor only needs tens of milliseconds to collect the ambient light intensity. Therefore, when the parallel light sensor collects the ambient light intensity during the process of turning on the camera, the processing time of the light sensor can be reduced as a whole, and the face recognition speed can be improved.

In a possible example, the processor 110 is further configured to: determine, according to the first frame, that the current user is the current user, determine a face center position in the first frame of the face image; Determining a reference image region according to the face center position; and determining a brightness mean value of the reference image region; and configured to adjust the AE initial configuration according to the brightness mean value to obtain an AE target configuration;

The camera 130 is further configured to: according to the AE target configuration, the user obtains a second frame face image;

The processor 110 is further configured to: according to the second frame face image, identify that the current user is a primary user, and perform a preset operation associated with the face recognition request.

In one possible example, the processor 110 is further configured to determine a face center point position in the first frame face image before the current user is the home owner user according to the first frame face image; Determining a reference brightness of the face region according to the face center point position; and detecting that the reference brightness is in a preset brightness interval.

In the presently possible example, the processor 110 is further configured to: detect that the reference brightness is not in a preset brightness interval, determine an AE compensation configuration of the face region; and use the AE compensation configuration and the The initial configuration of the AE determines the AE target configuration;

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

Referring to FIG. 2, FIG. 2 is a schematic flowchart of a method for recognizing a face according to an embodiment of the present application, which is applied to an electronic device. As shown in the figure, the method for recognizing a face includes:

S201, when the electronic device detects the face recognition request, in the process of turning on the camera, the ambient light intensity is acquired by the light sensor, and the initial configuration of the automatic exposure (AE) is determined according to the ambient light intensity;

S202. The electronic device obtains a first frame face image according to the AE initial configuration by the camera.

S203. The electronic device performs a preset operation associated with the face recognition request if the current user is the home owner user according to the first frame face image.

The specific implementation manner of the current user being the primary user may be: the first frame face image matches the template face image of the pre-stored home owner user.

In a possible example, the method further includes: if the electronic device does not recognize that the current user is the primary user according to the first frame face image, determining a face center position in the first frame face image Determining a reference image region according to the face center position; determining a brightness average of the reference image region; adjusting the AE initial configuration according to the brightness mean to obtain an AE target configuration; configuring, by the camera according to the AE target The shooting user obtains the second frame face image; if the current user is the home owner user according to the second frame face image, the preset operation associated with the face recognition request is performed.

The determining the reference image area according to the location of the face center may be an image area including a face image area larger than a preset area threshold, or an image area having a face image ratio greater than a preset percentage threshold. Do not make a single limit.

It can be seen that, in this example, for scenes that are likely to cause under-exposed or overexposed facial images, such as backlight shooting, the electronic device can determine the brightness average of the reference image region including the face image, and correct the initial configuration of the AE according to the brightness average. The second frame face image with more moderate exposure is captured, and the user identity is recognized according to the second frame face image, which is beneficial to improving the success rate and accuracy of the face recognition of the electronic device.

In a possible example, the method further includes: determining a face center point position in the first frame face image before the current user is the home owner user according to the first frame face image; Determining a reference brightness of the face region according to the face center point position; detecting that the reference brightness is in a preset brightness interval.

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

It can be seen that, in this example, before the image comparison is performed, the electronic device may first analyze the reference brightness of the face region of the first frame of the currently photographed face image, thereby ensuring that the exposure of the first frame face image is suitable. The images are compared to improve the accuracy of face recognition of electronic devices.

In this possible example, the method further includes: the electronic device detecting that the reference brightness is not in a preset brightness interval, determining an AE compensation configuration of the face region; according to the AE compensation configuration and the AE The initial configuration determines an AE target configuration; the camera obtains a second frame face image according to the AE target configuration by the camera; and if the current user is the home owner user according to the second frame face image, the face is executed Identify the preset action associated with the request.

Among them, AE compensation is an exposure control method, which is generally around ±2-3EV. If the ambient light source is dark, you can increase the exposure value (such as +1EV, +2EV) to highlight the sharpness of the picture. Exposure compensation is the conscious change to the "appropriate" exposure parameters that the camera automatically calculates to make the photos brighter or darker. The photographer can adjust the brightness of the photo according to his own ideas, creating unique visual effects and the like. Generally, the camera will change the aperture value or shutter speed to adjust the exposure value.

It can be seen that, in this example, for the case where 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 region, and then obtain the second frame face image by the camera according to the AE target configuration. Finally, identifying the user identity according to the second frame face image is beneficial to improving the accuracy of the face recognition of the electronic device.

The unlocking includes a bright screen unlocking or a screen blanking unlocking, and the payment includes a large amount of payment or a small amount of payment, and the application enabling the corresponding application includes a system application of the electronic device or a third party application.

It can be seen that, in this example, the electronic device determines the identity of the user through face recognition, thereby completing the preset operation, and improving the security and accuracy of the electronic device performing the operation.

Referring to FIG. 3, FIG. 3 is a schematic flowchart of a face recognition method according to an embodiment of the present disclosure, which is applied to an electronic device, as shown in the figure, the face recognition. Methods include:

S301. When the electronic device detects the face recognition request, the ambient light intensity is acquired by the light sensor during the process of turning on the camera, and the initial configuration of the automatic exposure AE is determined according to the ambient light intensity;

S302, the electronic device obtains a first frame face image by the user according to the AE initial configuration by the camera;

S303. The electronic device performs a preset operation associated with the face recognition request if the current user is the home owner user according to the first frame face image.

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

S305. The electronic device determines a reference image region according to the location of the face center.

S306. The electronic device determines a brightness average value of the reference image region.

S307. The electronic device adjusts the initial configuration of the AE according to the brightness average value to obtain an AE target configuration.

S308. The electronic device obtains a second frame face image according to the AE target configuration by the camera.

S309. The electronic device performs a preset operation associated with the face recognition request if the current user is the home owner user according to the second frame face image.

In addition, the electronic device can determine the brightness average of the reference image area including the face image, and correct the AE initial configuration according to the brightness average to capture the exposure. The second frame of the face image is more moderate, and the user identity is recognized according to the second frame face image, which is beneficial to improving the success rate and accuracy of the face recognition of the electronic device.

4, FIG. 4 is a schematic flowchart of a face recognition method according to an embodiment of the present disclosure, which is applied to an electronic device, as shown in the figure, the face recognition. Methods include:

S401. When the electronic device detects the face recognition request, the ambient light intensity is acquired by the light sensor during the process of turning on the camera, and the initial configuration of the automatic exposure AE is determined according to the ambient light intensity;

S402, the electronic device obtains a first frame face image by the user according to the AE initial configuration by the camera;

S403, the electronic device determines a location of a face center point in the first frame face image;

S404, the electronic device determines a reference brightness of the face region according to the location of the face center point;

S405. The electronic device detects that the reference brightness is in a preset brightness interval.

S406. The electronic device performs a preset operation associated with the face recognition request if the current user is the home owner user according to the first frame face image.

S407, the electronic device detects that the reference brightness is not in a preset brightness interval, and determines an 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 obtains a second frame face image according to the AE target configuration by the camera.

S4010: The electronic device performs a preset operation associated with the face recognition request if the current user is the home owner user according to the second frame face image.

In addition, before performing image comparison, the electronic device may first analyze the reference brightness of the face region of the first frame of the currently photographed face image, thereby ensuring that the exposure of the first frame face image is suitable for image comparison. It is beneficial to improve the accuracy of face recognition of electronic devices.

In addition, for the case where the reference brightness is not in the preset brightness interval, the electronic device may determine the AE target configuration by using the AE compensation configuration of the face region, and then the camera obtains the second frame face image according to the AE target configuration by the camera, and finally according to the The second frame of the face image identifies the user identity, which is beneficial to improve the accuracy of face recognition of the electronic device.

Referring to FIG. 2, FIG. 3 and FIG. 4, FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in the figure, the electronic device includes a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the program comprising the steps of performing the following steps Instruction

In one possible example, the program further includes instructions for: determining, if the current user is the primary user, based on the first frame of the face image, determining the person in the first frame of the face image a face center position; and a reference image region for determining a reference image region according to the face center position; and for determining a brightness mean value of the reference image region; and for adjusting the AE initial configuration according to the brightness mean value to obtain an AE target And configured to obtain a second frame face image by the camera according to the AE target configuration; and to execute the person if the current user is the home user according to the second frame face image The face recognition request is associated with a preset operation.

In one possible example, the program further includes instructions for: determining a person in the first frame of the face image before identifying the current user as the primary user according to the first frame face image a face center point position; and a reference brightness for determining a face area according to the face center point position; and for detecting that the reference brightness is within 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, determining an AE compensation configuration of the face region, and for using the AE a compensation configuration and the AE initial configuration determining an AE target configuration; and a second frame face image for capturing a user according to the AE target configuration by the camera; and for identifying a face image according to the second frame The current user is the primary user, and the preset operation associated with the face recognition request is performed.

FIG. 6 is a block diagram of a functional unit of a face recognition device according to an embodiment of the present disclosure. The face recognition device 600 is applied to an electronic device, including an acquisition unit 601, a determination unit 602, and a shooting unit. 603 and an execution unit 604, wherein

The acquiring unit 601 is configured to acquire an ambient light intensity by using a light sensor during the process of turning on the camera when detecting the face recognition request;

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

The photographing unit 603 is configured to obtain, by the camera, a first frame face image according to the AE initial configuration shooting user;

The executing unit 604 is configured to perform a preset operation associated with the face recognition request if the current user is the home owner user according to the first frame face image.

In a possible example, the determining unit 602 is further configured to determine a face center position in the first frame face image if the current user is not the home owner user according to the first frame face image; And determining a reference image region according to the face center position; and determining a brightness average of the reference image region;

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

The photographing unit 603 is further configured to obtain a second frame face image by the camera according to the AE target configuration by the camera;

The executing unit 604 is further configured to perform a preset operation associated with the face recognition request if the current user is the home owner user according to the second frame face image.

In a possible example, the determining unit 602 is further configured to determine, in the first frame, the face image, before the executing unit 604 identifies that the current user is the primary user according to the first frame face image. a face center point position; and a reference brightness for determining a face area according to the face center point position;

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

In the 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 configured to determine an AE target configuration according to the AE compensation configuration and the AE initial configuration;

It should be noted that the electronic device described in the device embodiment of the present application is presented in the form of a functional unit. The term "unit" as used herein shall be understood to mean the broadest possible meaning, and the object for implementing the functions described for each "unit" may be, for example, an integrated circuit ASIC, a single circuit for executing one or more software or firmware. A processor (shared, dedicated or chipset) and memory of the program, combinatorial logic, and/or other suitable components that perform the functions described above.

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

The embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to execute part or all of any of the methods described in the method embodiment. In the step, the computer includes an electronic device.

The embodiment of the present application further provides a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to execute as described in the method embodiment Part or all of the steps of either method. The computer program product can be a software installation package, the computer including an electronic device.

It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should understand that the present application is not limited by the described action sequence. Because certain steps may be performed in other sequences or concurrently in accordance with the present application. In the following, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

In the embodiment, the descriptions of the various embodiments are different, and the parts that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The integrated unit can be implemented in the form of hardware or in the 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 standalone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application, in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a memory. A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-described methods of various embodiments of the present application. The foregoing memory includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.

A person skilled in the art can understand that all or part of the steps of the foregoing embodiments can be completed by a program to instruct related hardware, and the program can be stored in a computer readable memory, and the memory can include: a flash drive , read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.

The embodiments of the present application have been described in detail above. The principles and implementations of the present application are described in the specific examples. The description of the above embodiments is only used to help understand the method and core ideas of the present application. A person skilled in the art will have a change in the specific embodiments and the scope of the application according to the idea of the present application. In summary, the content of the present specification should not be construed as limiting the present application.

Claims

An electronic device, comprising: a processor, a light sensor, a camera, the light sensor, the camera and the processor coupled, wherein

The processor, when detecting a face recognition request, turning on the camera;

The light sensor is configured to acquire an ambient light intensity during the opening process of the camera;

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

The camera is configured to obtain a first frame face image according to the AE initial configuration shooting user;

The processor is further configured to: according to the first frame face image, identify that the current user is a primary user, and perform a preset operation associated with the face recognition request.
The electronic device according to claim 1, wherein the processor is further configured to: determine, according to the first frame, that the current user is the primary user, determine the first frame of the face image a face center position; and a reference image region for determining a face image position according to the face center position; and for determining a brightness mean value of the reference image region; and for adjusting the AE initial configuration according to the brightness mean value to obtain an AE Target configuration

The camera is further configured to: according to the AE target configuration, the user obtains a second frame face image;

The processor is further configured to: according to the second frame face image, identify that the current user is a primary user, and perform a preset operation associated with the face recognition request.
The electronic device according to claim 1, wherein the processor is further configured to determine a person in the first frame of the face image before the current user is the primary user according to the first frame face image. a face center point position; and a reference brightness for determining a face area according to the face center point position; and for detecting that the reference brightness is within a preset brightness interval.
The electronic device according to claim 3, wherein the processor is further configured to: detect that the reference brightness is not in a preset brightness interval, determine an AE compensation configuration of the face region; The AE compensation configuration and the AE initial configuration determine an AE target configuration;

The camera is further configured to: according to the AE target configuration, the user obtains a second frame face image;

The processor is further configured to: according to the second frame face image, identify that the current user is a primary user, and perform a preset operation associated with the face recognition request.
The electronic device according to any one of claims 1 to 4, wherein the preset operation associated with the face recognition request includes at least one of the following: unlocking, paying, and application launching.
A face recognition method, comprising:

When the face recognition request is detected, in the process of turning on the camera, the ambient light intensity is acquired by the light sensor, and the initial configuration of the automatic exposure AE is determined according to the ambient light intensity;

Obtaining, by the camera, the first frame face image according to the AE initial configuration shooting user;

If the current user is identified as the primary user according to the first frame face image, the preset operation associated with the face recognition request is performed.
The method of claim 6 wherein the method further comprises:

Determining a face center position in the first frame face image according to the first frame face image not recognizing that the current user is the head user;

Determining a reference image area according to the face center position;

Determining a brightness average of the reference image area;

Adjusting the initial configuration of the AE according to the brightness average value to obtain an AE target configuration;

Obtaining a second frame face image by the camera according to the AE target configuration;

If the current user is identified as the primary user according to the second frame face image, the preset operation associated with the face recognition request is performed.
The method according to claim 7, wherein the reference image area comprises any one of the following: an image area whose face image area is larger than a preset area threshold, and an image whose face image ratio is larger than a preset percentage threshold. region.
The method according to claim 6, wherein the method further comprises: before the current user is the primary user, according to the first frame of the face image, the method further comprises:

Determining a face center point position in the first frame face image;

Determining a reference brightness of the face region according to the location of the face center point;

The reference brightness is detected to be within a preset brightness interval.
The method according to claim 9, wherein the preset brightness interval is determined according to a pre-stored template face image, or is determined according to a face image in a face recognition successful record.
The method according to claim 9 or 10, wherein the method further comprises:

Detecting that the reference brightness is not in a preset brightness interval, determining an AE compensation configuration of the face area;

Determining an AE target configuration according to the AE compensation configuration and the AE initial configuration;

Obtaining a second frame face image by the camera according to the AE target configuration;

If the current user is the home owner user according to the second frame face image, the preset operation associated with the face recognition request is performed.
The method according to any one of claims 6 to 11, wherein the preset operation associated with the face recognition request includes at least one of the following: unlocking, paying, and application launching.
A face recognition device, comprising: an acquisition unit, a determination unit, a photographing unit, and an execution unit, wherein

The acquiring unit, when detecting the face recognition request, acquires the ambient light intensity through the light sensor during the process of turning on the camera;

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

The photographing unit is configured to obtain a first frame face image by the user according to the AE initial configuration by the camera;

The executing unit is configured to perform a preset operation associated with the face recognition request if the current user is the home owner user according to the first frame face image.
The device according to claim 13, wherein the determining unit is further configured to: if the current user is not the home user according to the first frame, and determine the first frame of the face image a face center position; and a reference image area for determining a center position of the face; and for determining a brightness average of the reference image area;

The face recognition device further includes an adjustment unit, configured to adjust the AE initial configuration according to the brightness mean value to obtain an AE target configuration;

The photographing unit is further configured to obtain a second frame face image by the camera according to the AE target configuration shooting by the camera;

The executing unit is further configured to perform a preset operation associated with the face recognition request if the current user is the home owner user according to the second frame face image.
The device according to claim 14, wherein the reference image area comprises any one of the following: an image area whose face image area is larger than a preset area threshold, and an image whose face image ratio is larger than a preset percentage threshold. region.
The device according to claim 13, wherein the determining unit is further configured to: determine the first frame before the performing unit identifies that the current user is the primary user according to the first frame face image a face center point position in the face image; and a reference brightness for determining a face area according to the face center point position;

The face recognition device further includes a detecting unit, configured to detect that the reference brightness is in a preset brightness interval.
The apparatus according to claim 16, wherein the preset brightness interval is determined according to a pre-stored template face image, or is determined according to a face image in a face recognition successful record.
The device according to claim 16 or 17, wherein the detecting unit is further configured to detect that the reference brightness is not in a preset brightness interval;

The determining unit is further configured to determine an AE compensation configuration of the face region; and configured to determine an AE target configuration according to the AE compensation configuration and the AE initial configuration;

The photographing unit is further configured to obtain a second frame face image by the camera according to the AE target configuration shooting by the camera;

The executing unit is further configured to perform a preset operation associated with the face recognition request if the current user is the home owner user according to the second frame face image.
An electronic device, comprising: a processor, a memory, a communication interface, and one or more programs, the one or more programs being stored in the memory and configured to be executed by the processor, The program comprises instructions for performing the steps in the method of any of claims 6-12.
A computer readable storage medium, characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of any one of claims 6-12, the computer comprising an electronic Device.