CN110209245B

CN110209245B - Face recognition method and related product

Info

Publication number: CN110209245B
Application number: CN201910523363.6A
Authority: CN
Inventors: 张海平
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2019-06-17
Filing date: 2019-06-17
Publication date: 2021-01-08
Anticipated expiration: 2039-06-17
Also published as: CN110209245A

Abstract

The embodiment of the application discloses a face recognition method and a related product, and is applied to electronic equipment, wherein the electronic equipment comprises an image collector and a display screen, the image collector is arranged below the display screen, the display screen is in a screen-off state, a polaroid in the display screen is adjusted to be in a first state, a first face image of a target object is obtained through the image collector, the first face image is matched with a preset face template to obtain a first matching value, if the first matching value exceeds a preset matching threshold value, the face recognition is determined to be successful, and therefore, the face recognition can be carried out by adopting the image collector below the display screen in the screen-off state of the display screen, so that the service life of the electronic equipment can be prolonged, and the power consumption generated when a lifting camera is lifted is reduced.

Description

Face recognition method and related product

Technical Field

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

Background

With the widespread use of electronic devices (such as mobile phones, tablet computers, etc.), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.

At present, some electronic equipment adopt elevation structure's camera module to carry out face identification, when needs carry out face identification, can go up and down to the camera earlier, then open the camera and carry out face identification. However, when the number of times of use of the camera module of the lifting structure is large, the camera is frequently lifted, which may affect the service life of the electronic device.

Disclosure of Invention

The embodiment of the application provides a face recognition method and a related product, which can prolong the service life of electronic equipment and reduce the power consumption generated when a lifting camera is lifted.

In a first aspect, an embodiment of the present application provides a face recognition method, where the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, and the method includes:

when the display screen is in a screen extinguishing state, adjusting a polarizer in the display screen to a first state, wherein the first state is a state that the image collector receives ambient light through the display screen;

acquiring a first face image of a target object through the image collector;

and matching the first face image with a preset face template to obtain a first matching value, and determining that the face recognition is successful if the first matching value exceeds a preset matching threshold value.

In a second aspect, an embodiment of the present application provides a face recognition device, the electronic device includes an image collector and a display screen, the image collector set up in the display screen below, the face recognition device includes:

the adjusting unit is used for adjusting the polarizer in the display screen to a first state when the display screen is in a screen-off state, wherein the first state is a state that the image collector receives ambient light through the display screen;

the acquisition unit is used for acquiring a first face image of a target object through the image collector;

and the matching unit is used for matching the first face image with a preset face template to obtain a first matching value, and if the first matching value exceeds a preset matching threshold value, the face recognition is determined to be successful.

In a third aspect, an embodiment of the present application provides an electronic device, including: the device comprises an image collector, a camera lifting module, a processor, a memory and 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 some or all of the steps as described in the first aspect of an embodiment of the present application.

In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium is used to store a computer program, where the computer program is used to make a computer execute some or all of the steps described in the first aspect of the present application.

In a fifth aspect, embodiments of the present application provide a computer program product, where 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 the first aspect of embodiments of the present application. The computer program product may be a software installation package.

The embodiment of the application has the following beneficial effects:

the face recognition method and the related product described in the embodiment of the application can be seen, and are applied to electronic equipment, the electronic equipment comprises an image collector and a display screen, the image collector is arranged below the display screen, the polaroid in the display screen is adjusted to be in a first state when the display screen is in a screen-off state, a first face image of a target object is obtained through the image collector, the first face image is matched with a preset face template to obtain a first matching value, if the first matching value exceeds a preset matching threshold value, the face recognition is determined to be successful, and therefore, the image collector below the display screen is adopted to perform face recognition when the display screen is in the screen-off state, the service life of the electronic equipment can be prolonged, and the power consumption generated when a lifting camera is lifted is reduced.

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

fig. 1B is a schematic flowchart of a face recognition method according to an embodiment of the present application;

fig. 1C is a schematic diagram illustrating an exemplary embodiment of adjusting a polarizer in a display panel to a first state;

fig. 1D is a schematic diagram illustrating an exemplary embodiment of adjusting a polarizer in a display panel to a second state;

fig. 1E is a schematic illustration of a demonstration provided by an embodiment of the present application before the camera is adjusted from the first position to the second position;

fig. 1F is a schematic illustration of a demonstration provided by an embodiment of the present application after adjusting a camera from a first position to a second position;

fig. 2 is a schematic flow chart of another face recognition method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of another face recognition method according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of another electronic device provided in an embodiment of the present application;

fig. 5 is a schematic structural diagram of a face recognition apparatus according to an embodiment of the present application;

fig. 6 is another schematic structural diagram of an electronic device provided in an embodiment of the present application.

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 above-described 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 devices involved in the embodiments 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 with wireless communication functions, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.

The following describes embodiments of the present application in detail.

Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device 100 according to an embodiment of the present disclosure, where the electronic device 100 includes: the portable electronic device comprises a shell 110, a circuit board 120 arranged in the shell 110, and a display screen 130, an image collector 140, a camera 150 and a camera lifting module 160 which are arranged on the shell 110, wherein the circuit board 120 is provided with a processor 121 and a memory 122, and the image collector 140 and the camera 150 are respectively connected with the processor 121. The image collector 140 is disposed below the display screen 130. The image collector 140 may be an infrared camera.

Referring to fig. 1B, fig. 1B is a schematic flow chart of a face recognition method according to an embodiment of the present disclosure, where the face recognition method described in this embodiment is applied to an electronic device shown in fig. 1A, the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, and the face recognition method includes:

101. and adjusting the polarizer in the display screen to a first state when the display screen is in a screen-off state, wherein the first state is a state that the image collector penetrates through the display screen to receive ambient light.

In the embodiment of the application, when the display screen is in the screen extinguishing state, the polarizer in the display screen can be adjusted to the first state, and in the first state, ambient light can penetrate through the display screen to enter the image collector, so that image collection can be performed. Specifically, including first polaroid and second polaroid in the display screen, first polaroid and second polaroid parallel arrangement, first polaroid includes first printing opacity axle, the second polaroid includes the second printing opacity axle, when first printing opacity axle perpendicular to first printing opacity axle, first polaroid and second polaroid can not be passed through to ambient light, get into image collector, as shown in fig. 1C, adjustable first polaroid and/or second polaroid make first printing opacity axle not perpendicular to first printing opacity axle, thereby, make ambient light pass through first polaroid and second polaroid, get into image collector, thereby, image collection can carry out image collection.

Optionally, in this embodiment of the present application, the following steps may also be included:

and when the display screen is in a bright screen state, adjusting the polarizer in the display screen to a second state, wherein the second state is a state that the image collector does not receive ambient light.

The display screen is in a bright screen state, the polaroid in the display screen can be adjusted to a second state, and in the second state, ambient light cannot penetrate through the display screen to enter the image collector, so that image collection is not performed through the image collector. Specifically, including first polaroid and second polaroid in the display screen, first polaroid and second polaroid parallel arrangement, first polaroid includes first printing opacity axle, the second polaroid includes the second printing opacity axle, when first printing opacity axle perpendicular to first printing opacity axle, first polaroid and second polaroid can not be passed through to ambient light, get into image collector, as shown in fig. 1D, adjustable first polaroid and/or second polaroid make first printing opacity axle perpendicular to first printing opacity axle, thereby, make first polaroid and second polaroid can not be passed through to ambient light, get into image collector, it does not carry out image acquisition to pass through image collector.

102. And acquiring a first face image of the target object through the image collector.

The target object refers to a user who performs face recognition.

In the screen-off state, when the target object wants to perform face recognition, an image collector can be used to obtain a first face image of the target object.

Optionally, an environment sensor may be disposed on the electronic device, the current ambient light brightness is obtained through the environment sensor, and then a target acquisition parameter corresponding to the current ambient light brightness is determined according to a corresponding relationship between the preset ambient light brightness and the acquisition parameter, where the acquisition parameter may include at least one of the following: the acquisition frequency of the image acquisition device, the working power of the image acquisition device, the working current of the image acquisition device, the working voltage of the image acquisition device, the light sensitivity and the like.

103. And matching the first face image with a preset face template to obtain a first matching value, and determining that the face recognition is successful if the first matching value exceeds a preset matching threshold value.

In the embodiment of the application, the preset face template can be pre-input into the target object, so that the first face image can be matched with the preset face template after the first face image is obtained. Specifically, the face features of the first face image may be extracted to obtain face features, the face features are then matched with face feature templates corresponding to preset face templates to obtain a first matching value, and if the first matching value exceeds a preset matching threshold, it is determined that the face recognition is successful.

Therefore, the display screen of the electronic equipment is in the screen extinguishing state, the image collector under the screen is used for face recognition, the situation that a camera in the electronic equipment frequently goes up and down to recognize faces can be avoided, the standby time of the electronic equipment can be prolonged, and the service life of the electronic equipment can be prolonged.

Optionally, in the step 103, matching the first face image with a preset face template may include the following steps:

31. extracting the features of the first face image to obtain a feature point set;

32. analyzing the distribution of the characteristic points of the first face image;

33. performing circular image interception on the first face image according to M different circle centers to obtain M circular area images, wherein M is an integer larger than 3;

34. selecting a target circular region image from the M circular region images, wherein the number of characteristic points contained in the circular region image is larger than that of other circular region images in the M circular region images;

35. dividing the target circular area image to obtain N circular rings, wherein the widths of the N circular rings are the same;

36. sequentially matching the N circular rings with the preset face template for feature points from the circular ring with the smallest radius in the N circular rings, and accumulating the matching values of the matched circular rings;

37. and when the accumulated first matching value is larger than a preset matching threshold value, immediately stopping feature point matching, and determining that the first face image is successfully matched with the preset face template.

The electronic equipment can extract features of a first face image to obtain a feature point set, analyze the feature point distribution of the first face image, then perform circular image interception on the first face image according to M different circle centers to obtain M circular area images, and select a target circular area image from the M circular area images, wherein the number of the feature points contained in the target circular area image is greater than that of other circular area images in the M circular area images; the method comprises the steps of dividing a target circular area image to obtain N circular rings, enabling the widths of the N circular rings to be the same, enabling N to be an integer larger than 2, starting from the circular ring with the smallest radius in the N circular rings, sequentially matching the N circular rings with a preset face template through feature points, specifically, starting from the circle center of the target circular area image, sequentially matching the N circular rings from the circle center to the outside, accumulating the matching values of the matched circular rings, immediately stopping feature point matching when the accumulated first matching value is larger than a preset matching threshold value, and determining that face recognition is successful.

Therefore, the N circular ring areas are matched in sequence, the subsequent matching operation can be flexibly controlled according to the matching result of the matched circular rings in the circular rings, the higher the matching value of the circular ring area matched at the current time is, the fewer the number of the matched circular rings in the N circular rings is, and therefore, all areas of the target circular area image do not need to be matched, the area matched with the human face can be reduced, and the speed of matching the human face is improved.

Optionally, the electronic device further includes a camera and a camera lifting module, and in this embodiment of the application, the electronic device may further include the following steps:

a1, adjusting the camera from a first position to a second position through the camera lifting module when the polarizer in the display screen is in the second state;

a2, acquiring a second face image through the camera;

and A3, matching the second face image with the preset face template to obtain a second matching value, and if the second matching value exceeds a preset matching threshold, determining that the face recognition is successful.

The first position is the position where the camera is in a non-shooting state, and the second position is the position where the camera is in shooting.

When the display screen of the electronic device is in a bright screen state and the polarizer in the display screen is adjusted to a second state, ambient light cannot enter the image collector through the display screen, and at this time, the camera can be controlled by the camera lifting module to lift and be adjusted from a first position to a second position, please refer to fig. 1E-1F, and fig. 1E-1F are schematic diagrams illustrating the camera being adjusted from the first position to the second position according to the embodiment of the present disclosure.

Furthermore, after the camera is adjusted from the first position to the second position, a second face image can be obtained through the camera, and face recognition is carried out on the second face image.

Therefore, the image collector and the lifting camera below the display screen are respectively adopted to perform face recognition under two states of screen off and screen on the display screen, so that frequent face recognition by the lifting camera can be avoided, the standby time can be prolonged, and the service life of the electronic equipment can be prolonged.

Optionally, in the step a2, the acquiring the second face image by the camera may include the following steps:

a21, acquiring a screen brightness parameter of the display screen, and acquiring an environment brightness parameter;

a22, determining a first working parameter of the camera according to the screen brightness parameter;

a23, determining a working parameter adjustment value of the camera according to the environment brightness parameter;

a24, determining a second working parameter according to the first working parameter and the working parameter adjustment value;

and A25, controlling the camera to acquire a second face image of the target object according to the second working parameter.

The working parameters of the camera can comprise at least one of the following parameters: aperture size, sensitivity, exposure time, etc.

In the method, in consideration of the influence of the screen brightness and the ambient light brightness of the display screen on the shooting effect of the face image in the bright screen state, a first mapping relation between a preset screen brightness parameter and a working parameter of the camera can be stored in the electronic device in advance, and therefore the first working parameter corresponding to the screen brightness parameter can be determined after the screen brightness parameter is obtained. The electronic equipment can also pre-obtain a plurality of image qualities of a plurality of face images obtained when each environmental brightness parameter corresponds to the working parameter adjustment values of a plurality of different cameras under a plurality of environmental brightness parameters, further can determine the camera working parameter adjustment value corresponding to the best image quality in the plurality of image qualities corresponding to each environmental brightness parameter, wherein the camera working parameter adjustment value is the camera working parameter adjustment value under the corresponding environmental brightness parameter, thereby determining the camera working parameter adjustment value corresponding to each environmental brightness parameter under a plurality of different environmental brightness parameters to obtain a plurality of camera working parameter adjustment values, and finally, setting a second mapping relation between the environmental brightness parameter and the camera working parameter adjustment value according to the plurality of environmental brightness parameters and the plurality of camera working parameter adjustment values. Therefore, after the current environment brightness parameter is obtained, the working parameter adjustment value of the camera corresponding to the environment brightness parameter can be determined.

Further, the first working parameter may be adjusted according to the working parameter adjustment value to obtain a second working parameter, for example, the first exposure time may be determined according to a screen brightness parameter of the display screen, the exposure time adjustment value may be determined according to an environment brightness parameter, and then the second exposure time may be determined according to the first exposure time and the exposure time adjustment value.

It can be seen that the face recognition method described in the embodiment of the application is applied to an electronic device, the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, when the display screen is in a screen-off state, a polarizer in the display screen is adjusted to a first state, a first face image of a target object is acquired through the image collector, the first face image is matched with a preset face template to obtain a first matching value, if the first matching value exceeds a preset matching threshold value, it is determined that face recognition is successful, and thus, when the display screen is in the screen-off state, the image collector below the display screen is used for face recognition, so that the service life of the electronic device can be prolonged, and power consumption generated when a lifting camera is lifted is reduced.

Referring to fig. 2, fig. 2 is a schematic flow chart of another face recognition method according to an embodiment of the present disclosure, where the face recognition method described in this embodiment is applied to the electronic device shown in fig. 1A, where the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, and the method may include the following steps:

201. and when the display screen is in a screen extinguishing state, adjusting the polarizer in the display screen to a first state, wherein the first state is a state that the image collector penetrates through the display screen to receive ambient light.

202. And acquiring a first face image of the target object through the image collector.

203. And matching the first face image with a preset face template to obtain a first matching value, and determining that the face recognition is successful if the first matching value exceeds a preset matching threshold value.

204. And when the display screen is in a bright screen state, adjusting the polarizer in the display screen to a second state, wherein the second state is a state that the image collector does not receive ambient light.

205. And adjusting the camera from a first position to a second position through the camera lifting module when the polaroid in the display screen is in the second state.

206. And acquiring a second face image through the camera.

207. And matching the second face image with the preset face template to obtain a second matching value, and determining that the face recognition is successful if the second matching value exceeds a preset matching threshold value.

The specific implementation process of steps 201-207 may refer to the corresponding description of steps 101-103, and will not be described herein again.

It can be seen that the face recognition method described in the embodiments of the present application is applied to an electronic device, the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, the polarizer in the display screen is adjusted to a first state when the display screen is in an off-screen state, a first face image of a target object is obtained through the image collector, the first face image is matched with a preset face template to obtain a first matching value, if the first matching value exceeds a preset matching threshold, it is determined that face recognition is successful, the polarizer in the display screen is adjusted to a second state when the display screen is in an on-screen state, the camera is adjusted from the first position to a second position through a camera lifting module, a second face image is obtained through the camera, the second face image is matched with the preset face template to obtain a second matching value, if the second matching value exceeds the preset matching threshold value, the face recognition is determined to be successful, and therefore, the face recognition is performed by respectively adopting the image collector and the lifting camera below the display screen under two states of screen turning-off and screen turning-on of the display screen, the frequent lifting of the camera can be avoided, the standby time can be prolonged, and the service life of the electronic equipment can be prolonged.

In accordance with the foregoing, please refer to fig. 3, which is a schematic flow chart of another face recognition method provided in an embodiment of the present application, where the face recognition method described in this embodiment is applied to an electronic device shown in fig. 1A, where the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, and the method may include the following steps:

301. and adjusting the polarizer in the display screen to a first state when the display screen is in a screen-off state, wherein the first state is a state that the image collector penetrates through the display screen to receive ambient light.

302. And acquiring a first face image of the target object through the image collector.

303. And matching the first face image with a preset face template to obtain a first matching value, and determining that the face recognition is successful if the first matching value exceeds a preset matching threshold value.

304. And when the display screen is in a bright screen state, adjusting the polarizer in the display screen to a second state, wherein the second state is a state that the image collector does not receive ambient light.

305. And adjusting the camera from a first position to a second position through the camera lifting module when the polaroid in the display screen is in the second state.

306. And acquiring a screen brightness parameter of the display screen, and acquiring an environment brightness parameter.

307. And determining a first working parameter of the camera according to the screen brightness parameter.

308. And determining a working parameter adjustment value of the camera according to the environment brightness parameter.

309. And determining a second working parameter according to the first working parameter and the working parameter adjustment value.

310. And controlling the camera to acquire a second face image of the target object according to the second working parameter.

311. And matching the second face image with the preset face template to obtain a second matching value, and determining that the face recognition is successful if the second matching value exceeds a preset matching threshold value.

The specific implementation process of steps 301-311 can refer to the corresponding description of steps 101-103, and will not be described herein again.

It can be seen that the face recognition method described in the embodiments of the present application is applied to an electronic device, where when a display screen is in a screen-off state, a polarizer in the display screen is adjusted to a first state, a first face image of a target object is obtained through an image collector, the first face image is matched with a preset face template to obtain a first matching value, if the first matching value exceeds a preset matching threshold, it is determined that face recognition is successful, when the display screen is in a screen-on state, the polarizer in the display screen is adjusted to a second state, a camera lifting module is used to adjust the polarizer from the first position to the second position, a screen brightness parameter of the display screen is obtained, an ambient brightness parameter is obtained, a first working parameter of the camera is determined according to the screen brightness parameter, a working parameter adjustment value of the camera is determined according to the ambient brightness parameter, a second working parameter is determined according to the first working parameter and the working parameter adjustment value, the control camera obtains a second face image of the target object according to the second working parameter, the second face image is matched with a preset face template to obtain a second matching value, if the second matching value exceeds a preset matching threshold value, the face recognition is determined to be successful, therefore, the image collector and the lifting camera are respectively adopted to carry out face recognition under two states of screen turning-off and screen turning-on of the display screen, the frequent lifting of the camera can be avoided to carry out face recognition, the standby time can be prolonged, and the service life of the electronic equipment can be prolonged. In addition, the working parameters of the camera are adjusted through the screen brightness parameters and the environment brightness parameters, so that the image quality of the second face image can be improved.

The following is a device for implementing the face recognition method, specifically as follows:

in accordance with the above, please refer to fig. 4, where fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, the electronic device includes: the system comprises a processor 410, a display screen 430, an image collector 440, a camera 450, a camera lifting module 460, a communication interface 470 and a memory 420; and one or more programs, the one or more programs 421 stored in the memory and configured to be executed by the processor, the programs 421 including instructions for:

acquiring a first face image of a target object through the image collector;

In one possible example, in the matching of the first face image with a preset face template, the program 421 includes instructions for:

extracting the features of the first face image to obtain a feature point set;

analyzing the distribution of the characteristic points of the first face image;

performing circular image interception on the first face image according to M different circle centers to obtain M circular area images, wherein M is an integer larger than 3;

selecting a target circular region image from the M circular region images, wherein the number of characteristic points contained in the circular region image is larger than that of other circular region images in the M circular region images;

dividing the target circular area image to obtain N circular rings, wherein the widths of the N circular rings are the same;

sequentially matching the N circular rings with the preset face template for feature points from the circular ring with the smallest radius in the N circular rings, and accumulating the matching values of the matched circular rings;

and when the accumulated first matching value is larger than a preset matching threshold value, immediately stopping feature point matching, and determining that the first face image is successfully matched with the preset face template.

In one possible example, the program 421 further includes instructions for performing the steps of:

In one possible example, the electronic device further comprises a camera and the camera lifting module the program 421 further comprises instructions for:

when the polaroid in the display screen is in the second state, the camera is adjusted from the first position to the second position through the camera lifting module;

acquiring a second face image through the camera;

and matching the second face image with the preset face template to obtain a second matching value, and determining that the face recognition is successful if the second matching value exceeds a preset matching threshold value.

In one possible example, in acquiring a second face image by the camera, the program 421 further includes instructions for:

acquiring a screen brightness parameter of the display screen, and acquiring an environment brightness parameter;

determining a first working parameter of the camera according to the screen brightness parameter;

determining a working parameter adjustment value of the camera according to the environment brightness parameter;

determining a second working parameter according to the first working parameter and the working parameter adjustment value;

and controlling the camera to acquire a second face image of the target object according to the second working parameter.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a face recognition apparatus provided in this embodiment, and is applied to an electronic device, where the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, the face recognition apparatus includes an adjusting unit 501, an obtaining unit 502, and a matching unit 503, where,

the adjusting unit 501 is configured to adjust a polarizer in the display screen to a first state when the display screen is in a screen-off state, where the first state is a state where the image acquirer transmits the display screen to receive ambient light;

the acquiring unit 502 is configured to acquire a first face image of a target object through the image acquirer;

the matching unit 503 is configured to match the first face image with a preset face template to obtain a first matching value, and determine that the face recognition is successful if the first matching value exceeds a preset matching threshold.

Optionally, in the aspect of matching the first face image with a preset face template, the matching unit 503 is specifically configured to:

extracting the features of the first face image to obtain a feature point set;

Optionally, the adjusting unit 501 is further configured to:

Optionally, the electronic device further comprises a camera and a camera lifting module,

the adjusting unit 501 is further configured to adjust the camera from a first position to a second position through the camera lifting module when the polarizer in the display screen is in the second state;

the obtaining unit 502 is further configured to obtain a second face image through the camera;

the matching unit 503 is further configured to match the second face image with the preset face template to obtain a second matching value, and if the second matching value exceeds a preset matching threshold, it is determined that the face recognition is successful.

Optionally, in terms of acquiring a second face image through the camera, the matching unit 503 is specifically configured to:

It can be seen that the face recognition device described in the embodiment of the present application is applied to an electronic device, the electronic device includes an image collector and a display screen, the image collector is disposed below the display screen, when the display screen is in a screen-off state, a polarizer in the display screen is adjusted to a first state, a first face image of a target object is obtained through the image collector, the first face image is matched with a preset face template to obtain a first matching value, if the first matching value exceeds a preset matching threshold value, it is determined that face recognition is successful, so that, when the display screen is in the screen-off state, the image collector below the display screen is used for face recognition, thereby prolonging the service life of the electronic device and reducing power consumption generated when a lifting camera is lifted.

It can be understood that the functions of each program module of the face recognition apparatus in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.

As shown in fig. 6, for convenience of description, only the portions related to the embodiments of the present application are shown, and details of the specific technology are not disclosed, please refer to the method portion of the embodiments of the present application. The electronic device may be any terminal device including a mobile phone, a tablet computer, a PDA (personal digital assistant), a POS (point of sales), a vehicle-mounted computer, etc., taking the electronic device as the mobile phone as an example:

fig. 6 is a block diagram illustrating a partial structure of a mobile phone related to an electronic device provided in an embodiment of the present application. Referring to fig. 6, the handset includes: radio Frequency (RF) circuit 910, memory 920, input unit 930, display unit 940, sensor 950, audio circuit 960, Wireless Fidelity (Wi-Fi) module 970, processor 980, power 990, camera 9100, camera lifting module 9200, and image collector 9300. Those skilled in the art will appreciate that the handset configuration shown in fig. 6 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile phone in detail with reference to fig. 6:

RF circuitry 910 may be used for the reception and transmission of information. In general, the RF circuit 910 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 910 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

The memory 920 may be used to store software programs and modules, and the processor 980 may execute various functional applications and data processing of the mobile phone by operating the software programs and modules stored in the memory 920. The memory 920 may mainly include a program storage area and a data storage area, wherein the program storage 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 the use of the mobile phone, and the like. Further, the memory 920 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.

The input unit 930 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 930 may include a fingerprint recognition module 931 and other input devices 932. Fingerprint identification module 931, can gather the fingerprint data of user above it. The input unit 930 may include other input devices 932 in addition to the fingerprint recognition module 931. In particular, other input devices 932 may include, but are not limited to, one or more of a touch screen, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 940 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The Display unit 940 may include a Display screen 941, and optionally, the Display screen 941 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The handset may also include at least one sensor 950, such as a light sensor, motion sensor, pressure sensor, temperature sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor (also referred to as a light sensor) that can adjust the backlight brightness of the mobile phone according to the brightness of ambient light, and thus adjust the brightness of the display screen 941, and a proximity sensor that can turn off the display screen 941 and/or the backlight when the mobile phone is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications (such as horizontal and vertical screen switching, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of a mobile phone; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

Audio circuitry 960, speaker 961, microphone 962 may provide an audio interface between a user and a cell phone. The audio circuit 960 may transmit the electrical signal converted from the received audio data to the speaker 961, and the audio signal is converted by the speaker 961 to be played; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal, converts the electrical signal into audio data after being received by the audio circuit 960, and then processes the audio data by the audio data playing processor 980, and then sends the audio data to, for example, another mobile phone through the RF circuit 910, or plays the audio data to the memory 920 for further processing.

Wi-Fi belongs to short-distance wireless transmission technology, and a mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through a Wi-Fi module 970, and provides wireless broadband internet access for the user. Although fig. 6 shows the Wi-Fi module 970, it is understood that it does not belong to the essential constitution of the cellular phone and can be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 980 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 920 and calling data stored in the memory 920, thereby integrally monitoring the mobile phone. Alternatively, processor 980 may include one or more processing units; preferably, the processor 980 may integrate an application processor AP, which mainly handles operating systems, user interfaces, applications, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 980.

The handset also includes a power supply 990 (e.g., a battery) for supplying power to the various components, which may preferably be logically connected to the processor 980 via a power management system, thereby providing management of charging, discharging, and power consumption via the power management system.

The mobile phone further comprises a camera 9100, wherein the camera 9100 comprises a front camera and a rear camera, and the front camera and the rear camera are used for shooting images and videos and transmitting the shot images and videos to the processor 980 for processing.

The mobile phone may further include a bluetooth module, etc., which will not be described herein.

In the embodiments shown in fig. 1B, fig. 2 and fig. 3, the method flows of the steps may be implemented based on the structure of the mobile phone.

Embodiments of the present application also provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute some or all of the steps of any one of the methods described in the above embodiments of the face recognition method, and the computer includes an electronic device.

Embodiments of the present application further provide a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute part or all of the steps of any of the face recognition methods described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.

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 foregoing 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 above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. 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 may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. 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

1. A face recognition method is characterized by being applied to electronic equipment, wherein the electronic equipment comprises an image collector and a display screen, the image collector is arranged below the display screen, and the method comprises the following steps:

acquiring a first face image of a target object through the image collector;

matching the first face image with a preset face template to obtain a first matching value, and determining that the face recognition is successful if the first matching value exceeds a preset matching threshold value;

wherein the content of the first and second substances,

the method further comprises the following steps: when the display screen is in a bright screen state, adjusting a polarizer in the display screen to a second state, wherein the second state is a state that the image collector does not receive ambient light;

wherein the electronic equipment also comprises a camera and a camera lifting module,

the method further comprises the following steps:

acquiring a second face image through the camera;

2. The method according to claim 1, wherein the matching the first face image with a preset face template comprises:

extracting the features of the first face image to obtain a feature point set;

3. The method according to claim 1 or 2, wherein the acquiring a second face image by the camera comprises:

4. The utility model provides a face recognition device which characterized in that is applied to electronic equipment, electronic equipment includes image collector and display screen, image collector set up in the display screen below, face recognition device includes:

the matching unit is used for matching the first face image with a preset face template to obtain a first matching value, and if the first matching value exceeds a preset matching threshold value, the face recognition is determined to be successful;

wherein the adjusting unit is further configured to:

when the display screen is in a bright screen state, adjusting a polarizer in the display screen to a second state, wherein the second state is a state that the image collector does not receive ambient light;

the adjustment unit is further configured to: when the polaroid in the display screen is in the second state, the camera is adjusted from the first position to the second position through the camera lifting module;

acquiring a second face image through the camera;

5. The face recognition apparatus according to claim 4, wherein in the matching of the first face image with a preset face template, the matching unit is specifically configured to:

extracting the features of the first face image to obtain a feature point set;

6. An electronic device, comprising: the device comprises a display screen, an image collector, a camera lifting module, a processor, a memory and 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 the method of any of claims 1-3.

7. A computer-readable storage medium for storing a computer program, wherein the computer program causes a computer to perform the method according to any one of claims 1-3.