CN110728204B - Face recognition method and terminal equipment - Google Patents
Face recognition method and terminal equipment Download PDFInfo
- Publication number
- CN110728204B CN110728204B CN201910901155.5A CN201910901155A CN110728204B CN 110728204 B CN110728204 B CN 110728204B CN 201910901155 A CN201910901155 A CN 201910901155A CN 110728204 B CN110728204 B CN 110728204B
- Authority
- CN
- China
- Prior art keywords
- image
- face image
- face
- terminal equipment
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000012545 processing Methods 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 15
- 230000006870 function Effects 0.000 description 11
- 230000002035 prolonged effect Effects 0.000 description 8
- 238000001514 detection method Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000002834 transmittance Methods 0.000 description 2
- 241000699670 Mus sp. Species 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 238000010897 surface acoustic wave method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Studio Devices (AREA)
- Telephone Function (AREA)
Abstract
The embodiment of the invention provides a face recognition method and terminal equipment, relates to the technical field of communication, and aims to solve the problem that the service life of a camera is reduced due to the fact that the existing terminal equipment controls the camera to extend and retract for multiple times. The method comprises the following steps: under the condition that the telescopic camera is positioned below a screen of the terminal equipment, acquiring a first face image; under the condition that the first face image is not matched with the first preset image, matching the first face image with the second preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment. The method can be applied to the face recognition scene of the terminal equipment.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a face recognition method and terminal equipment.
Background
With the continuous development of terminal technology, terminal devices are increasingly widely used. For example, the terminal device may collect a face image through a camera to perform face recognition.
At present, a telescopic camera can be adopted by the terminal equipment to collect face images for face recognition. For example, in the case that the user needs to unlock the terminal device, the terminal device may control the telescopic camera to extend from the inside of the terminal device, collect a face image of the user by using the telescopic camera, then match the collected face image with a face image entered in advance to perform face recognition, and after the face recognition is successful, the terminal device controls the telescopic camera to retract into the inside of the terminal device.
However, in the process of completing the face recognition, the terminal device needs to control the camera to extend and retract each time the face image is collected for face recognition, and because the scene (such as unlocking screen, online payment, etc.) of the face recognition performed by the user through the terminal device may be more, the terminal device needs to control the camera to extend and retract many times, thus reducing the service life of the camera.
Disclosure of Invention
The embodiment of the invention provides a face recognition method and terminal equipment, which are used for solving the problem that the service life of a camera is reduced due to the fact that the existing terminal equipment controls the camera to extend and retract for a plurality of times.
In order to solve the technical problems, the application is realized as follows:
in a first aspect, an embodiment of the present invention provides a face recognition method, applied to a terminal device, where the terminal device includes a telescopic camera, the face recognition method includes: under the condition that the telescopic camera is positioned below a screen of the terminal equipment, acquiring a first face image; under the condition that the first face image is not matched with the first preset image, matching the first face image with the second preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment.
In a second aspect, an embodiment of the present invention provides a terminal device, where the terminal device includes a telescopic camera, and the terminal device includes a shooting module and a processing module. The shooting module is used for acquiring a first face image under the condition that the telescopic camera is positioned below a screen of the terminal equipment. The processing module is used for matching the first face image with the second preset image under the condition that the first face image acquired by the shooting module is not matched with the first preset image. The first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment.
In a third aspect, an embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program implementing the steps of the face recognition method in the first aspect when executed by the processor.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the face recognition method in the first aspect described above.
In the embodiment of the invention, the first face image can be acquired under the condition that the telescopic camera is positioned below the screen of the terminal equipment; under the condition that the first face image is not matched with the first preset image, matching the first face image with the second preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment. Through the scheme, the face image can be acquired under the condition that the camera is not popped up, the acquired face image is matched with the high-definition bottom image to carry out face recognition, and the high-definition bottom image is rich in detail, so that the face recognition is easier to succeed, and the success rate of the face recognition can be improved. If the face recognition is successful, the terminal equipment executes operations such as unlocking a screen; if the face recognition fails, the terminal equipment can match the face image with the non-high-definition bottom image to perform the face recognition. Therefore, the camera can be prevented from frequently popping up and retracting, the service life of the camera is prolonged, the success rate of face recognition can be effectively improved, and the false recognition rate is reduced.
Drawings
Fig. 1 is a schematic diagram of a possible architecture of an android operating system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a face recognition method according to an embodiment of the present invention;
fig. 3 is one of schematic diagrams of a camera of a terminal device to which the face recognition method provided by the embodiment of the present invention is applied;
fig. 4 is a second schematic diagram of a camera of a terminal device to which the face recognition method according to the embodiment of the present invention is applied;
fig. 5 is a second schematic diagram of a face recognition method according to an embodiment of the present invention;
fig. 6 is a third schematic diagram of a face recognition method according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a face recognition method according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a face recognition method according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a face recognition method according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a terminal device according to an embodiment of the present invention;
fig. 11 is a second schematic structural diagram of a terminal device according to an embodiment of the present invention;
fig. 12 is a third schematic structural diagram of a terminal device according to an embodiment of the present invention;
fig. 13 is a schematic structural diagram of a terminal device according to an embodiment of the present invention;
Fig. 14 is a hardware schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by one of ordinary skill in the art without undue burden on the person of ordinary skill in the art based on the embodiments of the present invention, are intended to be within the scope of the present application.
The term "and/or" herein is an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. The symbol "/" herein indicates that the associated object is or is a relationship, e.g., A/B indicates A or B.
The terms "first" and "second" and the like in the description and in the claims are used for distinguishing between different objects and not for describing a particular sequential order of objects. For example, the first face image and the second face image, etc., are used to distinguish between different face images, rather than to describe a particular order of face images.
In embodiments of the invention, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present invention, unless otherwise specified, the meaning of "plurality" means two or more, for example, the meaning of a plurality of processing units means two or more, or the like; the plurality of elements means two or more elements and the like.
The embodiment of the invention provides a face recognition method and terminal equipment, which can collect a first face image under the condition that a telescopic camera is positioned below a screen of the terminal equipment; under the condition that the first face image is not matched with the first preset image, matching the first face image with the second preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment. Through the scheme, the face image can be acquired under the condition that the camera is not popped up, the acquired face image is matched with the high-definition bottom image to carry out face recognition, and the high-definition bottom image is rich in detail, so that the face recognition is easier to succeed, and the success rate of the face recognition can be improved. If the face recognition is successful, the terminal equipment executes operations such as unlocking a screen; if the face recognition fails, the terminal equipment can match the face image with the non-high-definition bottom image to perform the face recognition. Therefore, the camera can be prevented from frequently popping up and retracting, the service life of the camera is prolonged, the success rate of face recognition can be effectively improved, and the false recognition rate is reduced.
The terminal device in the embodiment of the invention can be a terminal device with an operating system. The operating system may be an Android operating system, an ios operating system, or other possible operating systems, and the embodiment of the present invention is not limited specifically.
The software environment to which the face recognition method provided by the embodiment of the invention is applied is described below by taking an android operating system as an example.
Fig. 1 is a schematic diagram of an architecture of a possible android operating system according to an embodiment of the present invention. In fig. 1, the architecture of the android operating system includes 4 layers, respectively: an application program layer, an application program framework layer, a system runtime layer and a kernel layer (specifically, a Linux kernel layer).
The application program layer comprises various application programs (including system application programs and third party application programs) in the android operating system.
The application framework layer is a framework of applications, and developers can develop some applications based on the application framework layer while adhering to the development principle of the framework of the applications.
The system runtime layer includes libraries (also referred to as system libraries) and android operating system runtime environments. The library mainly provides various resources required by the android operating system. The android operating system running environment is used for providing a software environment for the android operating system.
The kernel layer is an operating system layer of the android operating system, and belongs to the bottommost layer of the software hierarchy of the android operating system. The kernel layer provides core system services and a driver related to hardware for the android operating system based on a Linux kernel.
Taking an android operating system as an example, in the embodiment of the present invention, a developer may develop a software program for implementing the face recognition method provided in the embodiment of the present invention based on the system architecture of the android operating system shown in fig. 1, so that the face recognition method may be operated based on the android operating system shown in fig. 1. Namely, the processor or the terminal device can realize the face recognition method provided by the embodiment of the invention by running the software program in the android operating system.
The terminal device in the embodiment of the invention can be a mobile terminal or a non-mobile terminal. By way of example, the mobile terminal may be a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), and the like, and the non-mobile terminal may be a Personal Computer (PC), a Television (TV), a teller machine, a self-service machine, or the like, and the embodiments of the present invention are not limited in particular.
The implementation main body of the face recognition method provided by the embodiment of the invention can be the terminal equipment, or can be a functional module and/or a functional entity capable of realizing the face recognition method in the terminal equipment, and the implementation main body can be specifically determined according to actual use requirements. The following describes an exemplary face recognition method provided by the embodiment of the present invention by taking a terminal device as an example.
The following describes an exemplary face recognition method provided by the embodiment of the present invention with reference to various drawings.
The embodiment of the invention provides a face recognition method which can be applied to terminal equipment comprising a telescopic camera. As shown in fig. 2, the face recognition method may include steps 200-203 described below.
Step 200, under the condition that the telescopic camera is positioned below a screen of the terminal equipment, the terminal equipment acquires a first face image.
In the embodiment of the invention, the telescopic camera can extend (or pop out) from the inside of the terminal equipment and retract (or bounce back) to the inside of the terminal equipment. And, in a case where the retractable camera is outside the housing of the terminal device (when the retractable camera is in an extended state), the terminal device can collect an image (e.g., a face image) through the retractable camera. In case the telescopic camera is under the screen of the terminal device (i.e. under the screen, when the telescopic camera is in a retracted state), the terminal device can also acquire images through the telescopic camera. The retractable camera may also be referred to as an under-screen camera.
In the embodiment of the invention, if the terminal equipment needs to acquire the face image through the camera to perform face recognition (for example, screen unlocking or online payment is realized through a face recognition mode), the terminal equipment can acquire the first face image under the condition that the telescopic camera is positioned below the screen of the terminal equipment.
Illustratively, as shown in fig. 3, the terminal device 30 includes a retractable camera 31, the retractable camera 31 being located inside the terminal device 30, i.e., below the screen of the terminal device 30, when the retractable camera 31 is in a retracted state. In the case where the retractable camera 31 is below the screen of the terminal device, the terminal device 30 can acquire an image (e.g., a face image) through the retractable camera 31.
Compared with the mode of directly ejecting the camera to collect the image in the prior art, the embodiment of the invention can directly collect the image without ejecting the camera, so that frequent ejection and retraction of the camera can be avoided, and the service life of the camera can be prolonged.
Step 201, the terminal device determines whether the first face image is matched with a first preset image.
The first preset image is an image acquired when the prestored telescopic camera is positioned outside the shell of the terminal equipment. The face image (e.g., the first preset image) for face recognition stored in the terminal device in advance may be referred to as a base map, a base map, or the like.
As shown in fig. 4, the retractable camera 31 may protrude from the inside of the terminal device 30 while the retractable camera 31 is in the extended state. In the case where the retractable camera 31 is outside the housing of the terminal device, the terminal device 30 can acquire an image as a first preset image (high-definition bottom view) through the retractable camera 31 and store the first preset image.
When a base map for face recognition is acquired, because of factors such as low screen transmittance and wiring gaps, the quality of an image (non-high-definition base map) acquired by an under-screen camera is low, and if a low-quality face image is used as a base map for face feature matching, false recognition is easily caused. In view of this, the face recognition method provided by the embodiment of the invention can collect the face image without popping up the camera, and the collected face image is matched with the high-definition bottom image for face recognition, and the high-definition bottom image has abundant details, so that the face recognition is easier to succeed, and the success rate of the face recognition can be improved.
In the embodiment of the invention, after the terminal equipment collects the first face image, the terminal equipment can match the first face image with the first preset image to perform face recognition. If the first face image is matched with the first preset image, the face recognition is successful; if the first face image is not matched with the first preset image, the face recognition fails.
In the embodiment of the present invention, the process of matching the first face image with the first preset image by the terminal device may include the following steps: and calculating the target matching degree of the first face image and the first preset image, and comparing the target matching degree with a matching degree threshold value. Specifically, the terminal device may determine that face recognition is successful when the target matching degree is greater than or equal to the matching degree threshold; and under the condition that the target matching degree is smaller than the matching degree threshold value, the terminal equipment can determine that the face recognition fails.
On the one hand, if the terminal device determines that the first face image matches the first preset image, i.e. the face recognition is successful, the terminal device may continue to execute step 202 described below.
On the other hand, if the terminal device determines that the first face image does not match the first preset image, i.e. the face recognition fails, the terminal device may continue to execute step 203 described below.
Step 202, the terminal device executes the target operation.
Wherein the target operation may be any one of the following: unlocking a screen of the terminal equipment and paying through the terminal equipment. It will be appreciated that the operations targeted herein are merely illustrative, and may be specifically determined according to actual usage requirements, and embodiments of the present invention are not limited.
In the embodiment of the invention, the terminal equipment can unlock the screen of the terminal equipment under the condition that the terminal equipment determines that the face recognition is successful, provided that the face recognition is performed when the screen is unlocked. Assuming that face recognition is performed at the time of payment by the terminal device, the terminal device may perform a payment operation in case the terminal device determines that face recognition is successful.
Compared with the mode of directly popping up a camera to collect images and perform face recognition in the prior art, the embodiment of the invention can collect images and perform face recognition under the condition that the camera is not popped up, and once the face recognition is successful, the camera is not required to pop up, so that frequent popping up and retracting of the camera can be avoided, and the service life of the camera can be prolonged.
Step 203, the terminal device matches the first face image with the second preset image.
The second preset image is an image acquired when the prestored telescopic camera is positioned below a screen of the terminal equipment.
It should be noted that, in the case that the image quality of the face bottom image acquired by the under-screen camera is relatively low due to factors such as low screen transmittance and wiring gaps, it can be understood that the image quality of the first preset image is better than that of the second preset image.
In the embodiment of the invention, parameters such as image definition or brightness and the like can be adopted to measure the quality of the image. That is, the higher the image sharpness or brightness, the better the image quality.
For ease of illustration, the first preset image may be referred to as a high definition base map and the second preset image may be referred to as a non-high definition base map. It should be noted that the high definition and the non-high definition are relatively speaking here, and do not indicate the actual sharpness of the image.
In the embodiment of the invention, after determining that the first face image is not matched with the first preset image (high-definition bottom image), the terminal device can match the first face image with the second preset image (non-high-definition bottom image) again to determine whether the face recognition is successful.
In the embodiment of the invention, when the face recognition is required, the camera can directly collect the face image without popping up (namely, keeping the camera under the screen), and the face image is matched with the high-definition bottom image to perform the face recognition. Once the face recognition is successful, the terminal equipment executes operations such as unlocking a screen; and once the face recognition fails, the terminal equipment can match the face image with the non-high-definition bottom image to perform the face recognition. Therefore, the face recognition method can not only avoid frequent pop-up and retraction of the camera and prolong the service life of the camera, but also effectively improve the success rate of face recognition and reduce the false recognition rate.
The face recognition method provided by the embodiment of the invention can collect the first face image under the condition that the telescopic camera is positioned below the screen of the terminal equipment; under the condition that the first face image is not matched with the first preset image, matching the first face image with the second preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment. Through the scheme, the face image can be acquired under the condition that the camera is not popped up, the acquired face image is matched with the high-definition bottom image to carry out face recognition, and the high-definition bottom image is rich in detail, so that the face recognition is easier to succeed, and the success rate of the face recognition can be improved. If the face recognition is successful, the terminal equipment executes operations such as unlocking a screen; if the face recognition fails, the terminal equipment can match the face image with the non-high-definition bottom image to perform the face recognition. Therefore, the camera can be prevented from frequently popping up and retracting, the service life of the camera is prolonged, the success rate of face recognition can be effectively improved, and the false recognition rate is reduced.
Optionally, in conjunction with fig. 2, after step 203 described above, the face recognition method provided by the embodiment of the present invention may further include steps 204 and 202 described below, as shown in fig. 5.
Step 204, the terminal device determines that the face recognition is successful when the first face image is matched with the second preset image.
Step 202, the terminal device executes the target operation.
In the embodiment of the present invention, after the terminal device matches the first face image with the second preset image, if the matching degree of the first face image with the second preset image is greater than the matching degree threshold, the terminal device may determine that the face recognition is successful, and then the terminal device may continue to execute step 202, that is, execute the target operation, for example, unlock the screen of the terminal device, or pay through the terminal device.
For a specific description of the above target operation, reference may be made to the description of step 202 in fig. 2 in the above method embodiment, which is not repeated here.
Optionally, in conjunction with fig. 2, before step 200 described above in fig. 6, the face recognition method provided by the embodiment of the present invention may further include step 205 described below. Accordingly, the above-mentioned step 200 may be specifically implemented by the following step 200 a.
Step 205, the terminal device receives a first input of a user, where the first input is used to trigger the terminal device to perform face recognition.
In step 200a, in the case that the telescopic camera is below the screen of the terminal device, the terminal device responds to the first input and acquires the first face image through the telescopic camera.
Optionally, in the embodiment of the present invention, the first input may be a touch screen input of a user on a terminal device, or a press input of the user on a physical key of the terminal device, or a face projection input of the user on a camera of the terminal device, or any other input meeting an actual use requirement, which may be specifically determined according to the actual use requirement, and the embodiment of the present invention is not limited.
For example, the user may press a physical key or touch screen input of the terminal device, and trigger the terminal device to unlock the screen, i.e. may trigger the terminal device to perform face recognition.
Also for example, the user may touch screen input on the terminal device, trigger on-line payment by the terminal device, and then trigger the terminal device to perform face recognition.
In the embodiment of the invention, under the condition that the telescopic camera is positioned below the screen of the terminal equipment, once the user triggers the terminal equipment to perform face recognition, the terminal equipment can start the telescopic camera to acquire the first face image. Therefore, in the face recognition scene, the camera is not required to pop out, so that the camera can be prevented from frequently popping out and retracting, and the service life of the camera is prolonged.
In the embodiment of the present invention, if the first face image is not matched with the first preset image and the second preset image, the face recognition fails, and in this case, the terminal device may perform at least one of the following operations: for example, determining face recognition failure, prompting a user of face recognition failure, and controlling a camera to pop up to collect face images. Specific implementations of operations performed by the terminal device after face recognition failure are exemplarily described below through the following first implementation manner, second implementation manner, and third implementation manner.
First implementation:
optionally, in conjunction with fig. 6, after step 203 described above, the face recognition method provided by the embodiment of the present invention may further include step 206 described below, as shown in fig. 7.
Step 206, the terminal device determines that the face recognition fails when the first face image is not matched with the second preset image.
In the embodiment of the invention, if the first face image is not matched with the second preset image, the face recognition fails. Therefore, the false recognition rate can be reduced, and the safety of user information in the terminal equipment is improved.
The second implementation mode:
optionally, in conjunction with fig. 2, as shown in fig. 8, after the step 203, the face recognition method provided by the embodiment of the present invention may further include a step 207 described below.
Step 207, the terminal device displays the first prompt message if the first face image is not matched with the second preset image.
The first prompt information can be used for prompting whether the telescopic camera pops up to acquire the face image.
In the embodiment of the invention, if the user inputs the first prompt information and determines that the terminal equipment pops up the telescopic camera to collect the face image, the terminal equipment can control the telescopic camera to extend out of the terminal equipment so as to collect the face image. Therefore, convenience of human-computer interaction in the face recognition process is improved.
Third implementation mode:
optionally, in conjunction with fig. 2, as shown in fig. 9, after the step 203, the face recognition method provided by the embodiment of the present invention may further include the following steps 208 and 209.
Step 208, in the case that the first face image is not matched with the second preset image, the terminal device controls the telescopic camera to extend out from the terminal device.
Step 209, the terminal device collects a second face image, and matches the second face image with the first preset image.
In the embodiment of the invention, once face recognition fails by acquiring the face image through the under-screen camera, the terminal equipment controls the telescopic camera to extend out of the terminal equipment, acquires the second face image, and performs face recognition by matching the second face image with the high-definition bottom image. Therefore, the success rate of face recognition can be effectively improved, and the false recognition rate is reduced.
It should be noted that, in the foregoing embodiments of the present invention, each drawing (for example, fig. 8, fig. 9, etc.) is illustrated in conjunction with fig. 2, and each drawing may be implemented in conjunction with any other drawing (for example, fig. 6) that may be combined.
Optionally, in conjunction with fig. 2, before the step 200, the face recognition method provided by the embodiment of the present invention may further include the following steps 210 and 211.
Step 210, the terminal device collects at least one third face image when the telescopic camera is located outside the shell of the terminal device.
Step 211, the terminal device determines a face image with an image quality parameter greater than or equal to a first threshold value in the at least one third face image as a first preset image.
In an embodiment of the present invention, the image quality parameter may include at least one of the following: sharpness of the acquired image, brightness of the acquired image. It should be understood that the image quality parameters are merely exemplary, and may be specifically determined according to actual requirements, which are not limited by the embodiments of the present invention.
In the embodiment of the present invention, the first threshold may be a preset image definition, a preset image brightness, or a preset image definition and a preset image brightness. The specific value of the first threshold may be determined according to actual use requirements, which is not limited in the embodiment of the present invention.
For example, assuming that the image quality parameter is the sharpness of the acquired image, the first threshold is a preset image sharpness. Assuming that the image quality parameter includes sharpness and brightness of the acquired image, the first threshold includes preset image sharpness and image brightness, in which case the terminal may compare the sharpness of the acquired image with the preset image sharpness and compare the brightness of the acquired image with the preset image brightness.
In the embodiment of the invention, the terminal equipment can acquire the face image through the telescopic camera in the extending state and judge whether the image quality parameter of the face image is larger than the first threshold value. If the image quality parameter of the face image is larger than or equal to a first threshold value, namely the face image meets the image quality condition, the terminal equipment determines the face image as a first preset image; if the image quality parameter of the face image is smaller than the first threshold, the terminal equipment collects the face image again and judges whether the image quality parameter of the face image is larger than the first threshold. When an image acquired within a preset number of times (for example, 5 times) passes face image quality detection (for example, brightness, definition), the acquired face image is stored in a security area of the terminal device as a first preset image (high definition bottom image).
It should be noted that, the steps 210-211 may also be performed before the step 201.
Optionally, in conjunction with fig. 2, before the step 200, the face recognition method provided by the embodiment of the present invention may further include the following steps 212 and 213.
Step 212, the terminal device collects at least one fourth face image under the condition that the telescopic camera is located below the screen of the terminal device.
Step 213, the terminal device determines a face image with an image quality parameter greater than or equal to a second threshold value in the at least one fourth face image as a second preset image.
Wherein the first threshold may be greater than the second threshold.
For a description of the image quality parameters in step 213, reference may be made to the description of the image quality parameters in step 211, which is not repeated here.
For a description of the second threshold in step 213, reference may be made to the description of the first threshold in step 211, which is not repeated here.
In the embodiment of the invention, the terminal equipment can acquire the face image through the camera below the screen of the terminal equipment and judge whether the image quality parameter of the face image is larger than the second threshold value. If the image quality parameter of the face image is larger than or equal to a second threshold value, namely the face image meets the image quality condition, the terminal equipment determines the face image as a second preset image; if the image quality parameter of the face image is smaller than the second threshold, the terminal equipment collects the face image again and judges whether the image quality parameter of the face image is larger than the second threshold. When the image acquired within the preset number of times (for example, 5 times) passes the face image quality detection (for example, brightness, definition), the acquired face image is stored in a safety area of the terminal device as a second preset image (not high definition bottom image).
It should be noted that, the execution sequence of steps 210-211 and steps 212-213 may not be limited in the embodiments of the present invention. That is, the embodiment of the present invention may perform steps 210 to 211 first and then perform steps 212 to 213; step 212 to step 213 may be performed first, and step 210 to step 211 may be performed later; steps 210-211 and 212-213 may also be performed simultaneously.
It should be noted that, the steps 212-213 may be performed before the step 203.
As shown in fig. 10, an embodiment of the present invention provides a terminal device 700, where the terminal device 700 may include a retractable camera, and the terminal device 700 includes a photographing module 701 and a processing module 702. The shooting module 701 is configured to collect a first face image when the telescopic camera is below a screen of the terminal device. The processing module 702 is configured to match the first face image with the second preset image when the first face image acquired by the capturing module 701 is not matched with the first preset image. The first preset image is an image acquired when the prestored telescopic camera is positioned outside the shell of the terminal equipment, and the second preset image is an image acquired when the prestored telescopic camera is positioned below the screen of the terminal equipment.
Optionally, in an embodiment of the present invention, an image quality of the first preset image is better than an image quality of the second preset image.
Optionally, in the embodiment of the present invention, the processing module 702 is further configured to determine that the face recognition is successful and execute the target operation when the first face image matches the first preset image after the capturing module 701 captures the first face image. Wherein the target operation may be any one of the following: unlocking a screen of the terminal equipment and paying through the terminal equipment.
Optionally, in conjunction with fig. 10, as shown in fig. 11, the terminal device provided in the embodiment of the present invention may further include a receiving module 703. The receiving module 703 is configured to receive a first input of a user, where the first input is used to trigger the terminal device to perform face recognition before the capturing module 701 captures a first face image. The shooting module 701 is specifically configured to acquire the first face image through the telescopic camera in response to the first input received by the receiving module 703.
Optionally, in the embodiment of the present invention, the processing module 702 is further configured to determine that the face recognition fails when the first face image is not matched with the second preset image after the first face image is matched with the second preset image.
Optionally, in conjunction with fig. 10, as shown in fig. 12, a terminal device 700 provided in an embodiment of the present invention may further include a display module 704. The display module 704 is configured to display, after the processing module 702 matches the first face image with the second preset image, first prompt information when the first face image is not matched with the second preset image, where the first prompt information is used to prompt whether to pop up the telescopic camera to collect the face image.
Optionally, in conjunction with fig. 10, as shown in fig. 13, a terminal device 700 provided in an embodiment of the present invention may further include a control module 705. The control module 705 is configured to control the extension of the telescopic camera from the inside of the terminal device when the first face image is not matched with the second preset image after the processing module 702 matches the first face image with the second preset image. The shooting module 701 is further configured to collect a second face image through a telescopic camera located outside the housing of the terminal device. The processing module 702 is further configured to match the second face image acquired by the capturing module 701 with the first preset image.
Optionally, in the embodiment of the present invention, before the capturing module 701 is further configured to capture a first face image, in the case that the telescopic camera is located outside the housing of the terminal device, at least one third face image is captured, and a face image with an image quality parameter greater than or equal to a first threshold value in the at least one third face image is determined as the first preset image.
Optionally, in the embodiment of the present invention, the shooting module 701 is further configured to collect at least one fourth face image when the telescopic camera is below the screen of the terminal device, and determine a face image with an image quality parameter greater than or equal to a second threshold value in the at least one fourth face image as the second preset image. Wherein the first threshold is greater than the second threshold.
The terminal device provided by the embodiment of the present invention can implement each process implemented by the terminal device in the above method embodiment, and in order to avoid repetition, details are not repeated here.
The terminal equipment provided by the embodiment of the invention can acquire the first face image under the condition that the telescopic camera is positioned below the screen of the terminal equipment; under the condition that the first face image is not matched with the first preset image, matching the first face image with the second preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment. Through the scheme, the face image can be acquired under the condition that the camera is not popped up, the acquired face image is matched with the high-definition bottom image to carry out face recognition, and the high-definition bottom image is rich in detail, so that the face recognition is easier to succeed, and the success rate of the face recognition can be improved. If the face recognition is successful, the terminal equipment executes operations such as unlocking a screen; if the face recognition fails, the terminal equipment can match the face image with the non-high-definition bottom image to perform the face recognition. Therefore, the camera can be prevented from frequently popping up and retracting, the service life of the camera is prolonged, the success rate of face recognition can be effectively improved, and the false recognition rate is reduced.
Fig. 14 is a schematic hardware structure of a terminal device implementing various embodiments of the present invention. As shown in fig. 14, the terminal device 800 includes, but is not limited to: radio frequency unit 801, network module 802, audio output unit 803, input unit 804, sensor 805, display unit 806, user input unit 807, interface unit 808, memory 809, processor 810, and power supply 811. It will be appreciated by those skilled in the art that the terminal device structure shown in fig. 14 does not constitute a limitation of the terminal device, and the terminal device may comprise more or less components than shown, or may combine certain components, or may have a different arrangement of components. In the embodiment of the invention, the terminal equipment comprises, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer and the like.
The sensor 805 is configured to collect a first face image when the retractable camera is under a screen of the terminal device; the processor 810 is configured to match the first face image with the second preset image when the first face image acquired by the sensor 805 is not matched with the first preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment.
The embodiment of the invention provides terminal equipment, which can acquire a first face image under the condition that a telescopic camera is positioned below a screen of the terminal equipment; under the condition that the first face image is not matched with the first preset image, matching the first face image with the second preset image; the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment. Through the scheme, the face image can be acquired under the condition that the camera is not popped up, the acquired face image is matched with the high-definition bottom image to carry out face recognition, and the high-definition bottom image is rich in detail, so that the face recognition is easier to succeed, and the success rate of the face recognition can be improved. If the face recognition is successful, the terminal equipment executes operations such as unlocking a screen; if the face recognition fails, the terminal equipment can match the face image with the non-high-definition bottom image to perform the face recognition. Therefore, the camera can be prevented from frequently popping up and retracting, the service life of the camera is prolonged, the success rate of face recognition can be effectively improved, and the false recognition rate is reduced.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 801 may be used for receiving and transmitting signals during the process of receiving and transmitting information or communication, specifically, receiving downlink data from a base station, and then processing the received downlink data by the processor 810; and, the uplink data is transmitted to the base station. In general, the radio frequency unit 801 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 801 may also communicate with networks and other devices through a wireless communication system.
Terminal device 800 provides wireless broadband internet access to a user via network module 802, such as helping the user to send and receive e-mail, browse web pages, and access streaming media, etc.
The audio output unit 803 may convert audio data received by the radio frequency unit 801 or the network module 802 or stored in the memory 809 into an audio signal and output as sound. Also, the audio output unit 803 may also provide audio output (e.g., a call signal reception sound, a message reception sound, etc.) related to a specific function performed by the terminal device 800. The audio output unit 803 includes a speaker, a buzzer, a receiver, and the like.
The input unit 804 is used for receiving an audio or video signal. The input unit 804 may include a graphics processor (graphics processing unit, GPU) 8041 and a microphone 8042, the graphics processor 8041 processing image data of still pictures or video obtained by an image capturing apparatus (such as a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 806. The image frames processed by the graphics processor 8041 may be stored in the memory 809 (or other storage medium) or transmitted via the radio frequency unit 801 or the network module 802. The microphone 8042 can receive sound, and can process such sound into audio data. The processed audio data may be converted into a format output that can be transmitted to the mobile communication base station via the radio frequency unit 801 in case of a telephone call mode.
The terminal device 800 also includes at least one sensor 805 such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 8061 according to the brightness of ambient light, and the proximity sensor can turn off the display panel 8061 and/or the backlight when the terminal device 800 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when the accelerometer sensor is stationary, and can be used for recognizing the gesture (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking) and the like of the terminal equipment; the sensor 805 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which are not described herein.
The display unit 806 is used to display information input by a user or information provided to the user. The display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display (liquid crystal display, LCD), an organic light-emitting diode (OLED), or the like.
The user input unit 807 is operable to receive input numeric or character information and to generate key signal inputs related to user settings of the terminal device and function control. In particular, the user input unit 807 includes a touch panel 8071 and other input devices 8072. Touch panel 8071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on touch panel 8071 or thereabout using any suitable object or accessory such as a finger, stylus, etc.). The touch panel 8071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, sends the touch point coordinates to the processor 810, and receives and executes commands sent from the processor 810. In addition, the touch panel 8071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 8071, the user input unit 807 can include other input devices 8072. In particular, other input devices 8072 may include, but are not limited to, physical keyboards, function keys (e.g., volume control keys, switch keys, etc.), trackballs, mice, joysticks, and so forth, which are not described in detail herein.
Further, the touch panel 8071 may be overlaid on the display panel 8061, and when the touch panel 8071 detects a touch operation thereon or thereabout, the touch operation is transmitted to the processor 810 to determine a type of touch event, and then the processor 810 provides a corresponding visual output on the display panel 8061 according to the type of touch event. Although in fig. 14, the touch panel 8071 and the display panel 8061 are two independent components to implement the input and output functions of the terminal device, in some embodiments, the touch panel 8071 and the display panel 8061 may be integrated to implement the input and output functions of the terminal device, which is not limited herein.
The interface unit 808 is an interface to which an external device is connected to the terminal apparatus 800. For example, the external devices may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 808 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the terminal apparatus 800 or may be used to transmit data between the terminal apparatus 800 and an external device.
The memory 809 can be used to store software programs as well as various data. The memory 809 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory 809 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 processor 810 is a control center of the terminal device, connects various parts of the entire terminal device using various interfaces and lines, and performs various functions of the terminal device and processes data by running or executing software programs and/or modules stored in the memory 809 and calling data stored in the memory 809, thereby performing overall monitoring of the terminal device. The processor 810 may include one or more processing units; alternatively, the processor 810 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 810.
The terminal device 800 may further include a power source 811 (e.g., a battery) for powering the various components, and optionally, the power source 811 may be logically coupled to the processor 810 through a power management system that performs functions such as managing charging, discharging, and power consumption.
In addition, the terminal device 800 includes some functional modules, which are not shown, and will not be described herein.
Optionally, the embodiment of the present invention further provides a terminal device, including a processor 810 shown in fig. 14, a memory 809, and a computer program stored in the memory 809 and capable of running on the processor 810, where the computer program when executed by the processor 810 implements each process of the foregoing embodiment of the face recognition method, and the process can achieve the same technical effect, so that repetition is avoided and redundant description is omitted here.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the above-mentioned face recognition method embodiment, and can achieve the same technical effects, and in order to avoid repetition, the description is omitted here. The computer readable storage medium may include, among others, read-only memory (ROM), random access memory (randomaccess memory, RAM), magnetic or optical disks, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method disclosed in the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
Claims (12)
1. A face recognition method applied to a terminal device comprising a telescopic camera, the method comprising:
under the condition that the telescopic camera is positioned below a screen of the terminal equipment, acquiring a first face image;
under the condition that the first face image is not matched with a first preset image, matching the first face image with a second preset image;
the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment; the image quality of the first preset image is better than the image quality of the second preset image.
2. The method of claim 1, wherein after the acquiring the first face image, the method further comprises:
under the condition that the first face image is matched with a first preset image, determining that face recognition is successful, and executing target operation;
wherein the target operation is any one of the following: unlocking the screen of the terminal equipment and paying through the terminal equipment.
3. The method according to claim 1 or 2, wherein prior to acquiring the first face image, the method further comprises:
receiving a first input of a user, wherein the first input is used for triggering the terminal equipment to perform face recognition;
the acquiring a first face image includes:
and responding to the first input, and acquiring a first face image through the telescopic camera.
4. A method according to claim 3, wherein after matching the first face image with a second preset image, the method further comprises:
under the condition that the first face image is not matched with the second preset image, determining that face recognition fails;
or,
displaying first prompt information under the condition that the first face image is not matched with the second preset image, wherein the first prompt information is used for prompting whether the telescopic camera pops up to acquire the face image;
Or,
and under the condition that the first face image is not matched with the second preset image, controlling the telescopic camera to extend out of the terminal equipment, collecting the second face image, and matching the second face image with the first preset image.
5. The method of claim 1, wherein prior to acquiring the first face image, the method further comprises:
acquiring at least one third face image under the condition that the telescopic camera is positioned outside a shell of the terminal equipment, and determining the face image with the image quality parameter larger than or equal to a first threshold value in the at least one third face image as the first preset image;
acquiring at least one fourth face image under the condition that the telescopic camera is positioned below a screen of the terminal equipment, and determining the face image with the image quality parameter being greater than or equal to a second threshold value in the at least one fourth face image as the second preset image;
wherein the first threshold is greater than the second threshold.
6. The terminal equipment is characterized by comprising a telescopic camera, wherein the terminal equipment comprises a shooting module and a processing module;
The shooting module is used for acquiring a first face image under the condition that the telescopic camera is positioned below a screen of the terminal equipment;
the processing module is used for matching the first face image with a second preset image under the condition that the first face image acquired by the shooting module is not matched with the first preset image;
the first preset image and the second preset image are both pre-stored face images, the first preset image is a face image acquired when the telescopic camera is positioned outside a shell of the terminal equipment, and the second preset image is a face image acquired when the telescopic camera is positioned below a screen of the terminal equipment; the image quality of the first preset image is better than the image quality of the second preset image.
7. The terminal device according to claim 6, wherein the processing module is further configured to determine that face recognition is successful and perform a target operation if the first face image matches a first preset image after the capturing module captures the first face image;
wherein the target operation is any one of the following: unlocking the screen of the terminal equipment and paying through the terminal equipment.
8. The terminal device according to claim 6 or 7, characterized in that the terminal device further comprises a receiving module;
the receiving module is used for receiving a first input of a user before the shooting module collects a first face image, and the first input is used for triggering the terminal equipment to conduct face recognition;
the shooting module is specifically configured to respond to the first input received by the receiving module, and collect a first face image through the telescopic camera.
9. The terminal device according to claim 8, wherein the processing module is further configured to determine that face recognition fails if the first face image does not match the second preset image after the first face image is matched with the second preset image;
or, the terminal device further includes a display module, where the display module is configured to display, after the processing module matches the first face image with a second preset image, first prompt information when the first face image is not matched with the second preset image, where the first prompt information is used to prompt whether to pop up the telescopic camera to collect the face image;
Or the terminal equipment further comprises a control module, wherein the control module is used for controlling the telescopic camera to extend out of the terminal equipment under the condition that the first face image is not matched with the second preset image after the processing module is used for matching the first face image with the second preset image; the shooting module is also used for acquiring a second face image through the telescopic camera which is positioned outside the shell of the terminal equipment; the processing module is further configured to match the second face image acquired by the capturing module with the first preset image.
10. The terminal device according to claim 6, wherein the capturing module is further configured to, before capturing a first face image, capture at least one third face image if the retractable camera is located outside the housing of the terminal device, and determine, as the first preset image, a face image having an image quality parameter greater than or equal to a first threshold value from the at least one third face image;
the shooting module is further configured to collect at least one fourth face image and determine a face image with an image quality parameter greater than or equal to a second threshold value as the second preset image in the at least one fourth face image when the telescopic camera is below the screen of the terminal device;
Wherein the first threshold is greater than the second threshold.
11. A terminal device, characterized in that it comprises a processor, a memory and a computer program stored on the memory and executable on the processor, which computer program, when being executed by the processor, implements the steps of the face recognition method according to any one of claims 1 to 5.
12. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the face recognition method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910901155.5A CN110728204B (en) | 2019-09-23 | 2019-09-23 | Face recognition method and terminal equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910901155.5A CN110728204B (en) | 2019-09-23 | 2019-09-23 | Face recognition method and terminal equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110728204A CN110728204A (en) | 2020-01-24 |
| CN110728204B true CN110728204B (en) | 2024-01-02 |
Family
ID=69218321
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910901155.5A Active CN110728204B (en) | 2019-09-23 | 2019-09-23 | Face recognition method and terminal equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110728204B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106713815A (en) * | 2016-12-30 | 2017-05-24 | 广西芮芽科技有限公司 | Building intercom system |
| CN107563168A (en) * | 2017-09-05 | 2018-01-09 | 广东欧珀移动通信有限公司 | Unlocking method, device and the mobile terminal of mobile terminal |
| CN108307004A (en) * | 2017-12-26 | 2018-07-20 | 姜洪明 | Full-screen mobile phone and its recognition of face verification method |
| CN108764198A (en) * | 2018-06-06 | 2018-11-06 | 深圳市晓控通信科技有限公司 | It is a kind of that there is the dismounting easily face identification device for adjusting angle function |
| CN108769514A (en) * | 2018-05-17 | 2018-11-06 | Oppo广东移动通信有限公司 | Camera control method, device, electronic device and storage medium |
| CN108833753A (en) * | 2018-06-29 | 2018-11-16 | 维沃移动通信有限公司 | A kind of image obtains and application method, terminal and computer readable storage medium |
| CN208128326U (en) * | 2018-05-04 | 2018-11-20 | Oppo广东移动通信有限公司 | Mobile terminal |
| CN109241832A (en) * | 2018-07-26 | 2019-01-18 | 维沃移动通信有限公司 | A kind of method and terminal device of face In vivo detection |
| CN109684951A (en) * | 2018-12-12 | 2019-04-26 | 北京旷视科技有限公司 | Face identification method, bottom library input method, device and electronic equipment |
-
2019
- 2019-09-23 CN CN201910901155.5A patent/CN110728204B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106713815A (en) * | 2016-12-30 | 2017-05-24 | 广西芮芽科技有限公司 | Building intercom system |
| CN107563168A (en) * | 2017-09-05 | 2018-01-09 | 广东欧珀移动通信有限公司 | Unlocking method, device and the mobile terminal of mobile terminal |
| CN108307004A (en) * | 2017-12-26 | 2018-07-20 | 姜洪明 | Full-screen mobile phone and its recognition of face verification method |
| WO2019129050A1 (en) * | 2017-12-26 | 2019-07-04 | 姜洪明 | Full-screen mobile phone, and face recognition authentication method for same |
| CN208128326U (en) * | 2018-05-04 | 2018-11-20 | Oppo广东移动通信有限公司 | Mobile terminal |
| CN108769514A (en) * | 2018-05-17 | 2018-11-06 | Oppo广东移动通信有限公司 | Camera control method, device, electronic device and storage medium |
| CN108764198A (en) * | 2018-06-06 | 2018-11-06 | 深圳市晓控通信科技有限公司 | It is a kind of that there is the dismounting easily face identification device for adjusting angle function |
| CN108833753A (en) * | 2018-06-29 | 2018-11-16 | 维沃移动通信有限公司 | A kind of image obtains and application method, terminal and computer readable storage medium |
| CN109241832A (en) * | 2018-07-26 | 2019-01-18 | 维沃移动通信有限公司 | A kind of method and terminal device of face In vivo detection |
| CN109684951A (en) * | 2018-12-12 | 2019-04-26 | 北京旷视科技有限公司 | Face identification method, bottom library input method, device and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 基于分块离散余弦变换和Hausdorff距离的人脸识别;陈秀宏 等;《计算机应用》;第30卷(第S2期);第86-89页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110728204A (en) | 2020-01-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110913132B (en) | Object tracking method and electronic equipment | |
| CN108459797B (en) | Control method of folding screen and mobile terminal | |
| CN111163260B (en) | Camera starting method and electronic equipment | |
| CN111339515A (en) | Application program starting method and electronic equipment | |
| CN108664818B (en) | Unlocking control method and device | |
| CN110753155A (en) | Proximity detection method and terminal equipment | |
| CN111343710B (en) | Power adjustment method and electronic equipment | |
| CN110232266B (en) | Screen unlocking method and terminal equipment | |
| CN110610146B (en) | Face recognition method and electronic equipment | |
| CN110012151B (en) | Information display method and terminal equipment | |
| CN109189514B (en) | Terminal device control method and terminal device | |
| CN108388459B (en) | Message display processing method and mobile terminal | |
| CN111131930B (en) | Device resource control method, first electronic device, and computer-readable storage medium | |
| CN109359460B (en) | Face recognition method and terminal equipment | |
| CN108810276B (en) | Face recognition method and mobile terminal | |
| CN109164951B (en) | Mobile terminal operation method and mobile terminal | |
| CN108259807B (en) | Communication method, mobile terminal and computer readable storage medium | |
| CN108459796B (en) | Function key response method and mobile terminal | |
| CN110647727A (en) | Terminal control method and terminal | |
| CN111045584B (en) | Interface display method and electronic equipment | |
| CN110728204B (en) | Face recognition method and terminal equipment | |
| CN111045583B (en) | Camera control method and electronic equipment | |
| CN111381753B (en) | Multimedia file playing method and electronic equipment | |
| CN110881083B (en) | Camera control method and electronic equipment | |
| CN109784014B (en) | Screen unlocking method and terminal equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |