CN108197558A - Face identification method, device, storage medium and electronic equipment - Google Patents
Face identification method, device, storage medium and electronic equipment Download PDFInfo
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- CN108197558A CN108197558A CN201711466318.9A CN201711466318A CN108197558A CN 108197558 A CN108197558 A CN 108197558A CN 201711466318 A CN201711466318 A CN 201711466318A CN 108197558 A CN108197558 A CN 108197558A
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- 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
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- 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
- G06V40/174—Facial expression recognition
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- 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
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- 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
- G06V40/40—Spoof detection, e.g. liveness detection
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Abstract
The embodiment of the present application discloses a kind of face identification method, device, storage medium and electronic equipment；The method includes：Obtain the faceform of user, and faceform is matched with default faceform, if it fits through, then corresponding human face action is generated according to faceform to instruct, receive human face action of the user according to human face action instruction input, and judge whether the completeness of human face action meets preset value, if satisfied, then determining that recognition of face is verified.The embodiment of the present application further can verify human face action on the basis of faceform verifies, effectively prevent non-permission user and crack permission using picture or face mold etc., so as to improve the accuracy of recognition of face and safety.
Description
Technical field
This application involves electronic device fields, and in particular to a kind of face identification method, device, storage medium and electronics are set
It is standby.
Background technology
With the development of terminal technology, terminal have begun from simply provided in the past verbal system become gradually one it is logical
With the platform of running software.The platform no longer to provide call management as the main purpose, and be to provide one include call management,
Running environment including the types of applications softwares such as Entertainment, office account, mobile payment, is popularized with a large amount of, deep
Enter to the every aspect of people’s lives, work.
Face is the important biological characteristic of the mankind, therefore develops the relevant research of many faces.Wherein, one
Important application is recognition of face, and the feature of face vision is compared by computer analysis, carries out identity discriminating.Utilizing people
When face recognizes the foundation as gate inhibition's keyholed back plate, the management that can save contactless card builds expense, can also remove the personnel of disengaging gate inhibition from
Forget the puzzlement with card.Compared to the identification mode of other biological feature, human face recognition using non-intruding, non-contacting mode into
Row, is easily received by most people.
However, flourishing due to world-wide web and community network, the photo and film of a face can easily by
Acquired by other people.In addition, the technology of various output element (such as printer, display) is constantly progressive, output element is exportable
Quality, similarity high photo or film.Therefore, it easily cheats or misses easily using the photo or film of high-quality output
Lead face identification system.
Invention content
The embodiment of the present application provides a kind of face identification method, device, storage medium and electronic equipment, can promote face
The accuracy of identification.
In a first aspect, the embodiment of the present application provides a kind of face identification method, including：
The faceform of user is obtained, and the faceform is matched with default faceform；
If fitting through, corresponding human face action is generated according to the faceform and is instructed；
Human face action of the user according to the human face action instruction input is received, and judges the completeness of the human face action
Whether preset value is met；
If satisfied, then determine that the recognition of face is verified.
Second aspect, the embodiment of the present application additionally provide a kind of face identification device, including：Acquisition module, matching module,
Generation module, receiving module, judgment module and determining module；
The acquisition module, for obtaining the faceform of user；
The matching module, for the faceform to be matched with default faceform；
The generation module, for when the matching module fits through, being generated according to the faceform corresponding
Human face action instructs；
The receiving module, for receiving human face action of the user according to the human face action instruction input；
The judgment module, for judging whether the completeness of the human face action meets preset value；
The determining module, for when the action judgment module is judged as YES, determining that the recognition of face verification is logical
It crosses.
The third aspect, the embodiment of the present application also provide a kind of storage medium, are stored thereon with computer program, the calculating
The step of machine program realizes above-mentioned face identification method when being executed by processor.
Fourth aspect, the embodiment of the present application also provide a kind of electronic equipment, including memory, processor and are stored in storage
On device and the computer program that can run on a processor, the processor realize above-mentioned recognition of face side when performing described program
The step of method.
Face identification method provided by the embodiments of the present application obtains the faceform of user first, and by faceform and in advance
If faceform is matched, if fitting through, corresponding human face action is generated according to faceform and is instructed, receives user's root
According to the human face action of human face action instruction input, and judge whether the completeness of human face action meets preset value, if satisfied, then really
Determine recognition of face to be verified.The embodiment of the present application further can carry out human face action on the basis of faceform verifies
Verification, effectively prevents non-permission user and cracks permission using picture or face mold etc., so as to improve the standard of recognition of face
True property and safety.
Description of the drawings
In order to illustrate more clearly of the technical solution in the embodiment of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present application, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of flow diagram of face identification method provided by the embodiments of the present application.
Fig. 2 is another flow diagram of face identification method provided by the embodiments of the present application.
Fig. 3 is a kind of application scenarios schematic diagram of face identification method provided by the embodiments of the present application.
Fig. 4 is another application scenarios schematic diagram of face identification method provided by the embodiments of the present application.
Fig. 5 is a kind of structure diagram of face identification device provided by the embodiments of the present application.
Fig. 6 is another structure diagram of face identification device provided by the embodiments of the present application.
Fig. 7 is a kind of structure diagram of electronic equipment provided by the embodiments of the present application.
Fig. 8 is another structure diagram of electronic equipment provided by the embodiments of the present application.
Specific embodiment
Schema is please referred to, wherein identical element numbers represent identical component, the principle of the application is to implement one
It is illustrated in appropriate computing environment.The following description be based on illustrated the application specific embodiment, should not be by
It is considered as limitation the application other specific embodiments not detailed herein.
In the following description, the specific embodiment of the application will be with reference to as the step performed by one or multi-section computer
And symbol illustrates, unless otherwise stating clearly.Therefore, these steps and operation will have to mention for several times is performed by computer, this paper institutes
The computer execution of finger includes by representing with the computer processing unit of the electronic signal of the data in a structuring pattern
Operation.This operation is converted at the data or the position being maintained in the memory system of the computer, reconfigurable
Or in addition change the running of the computer in a manner of known to the tester of this field.The data structure that the data are maintained
For the provider location of the memory, there is the specific feature as defined in the data format.But the application principle is with above-mentioned text
Word illustrates that be not represented as a kind of limitation, this field tester will appreciate that plurality of step as described below and behaviour
Also it may be implemented in hardware.
The principle of the application is grasped using many other wide usages or specific purpose operation, communication environment or configuration
Make.The example of the known arithmetic system for being suitable for the application, environment and configuration may include (but not limited to) hold phone,
Personal computer, server, multicomputer system, system, body frame configuration computer and distributed arithmetic ring based on micro computer
Border, which includes any above systems or device.
It will be described in detail respectively below.
The present embodiment will be described from the angle of face identification device, which can specifically be integrated in electronic equipment
In, which can connect the network equipment (such as smart mobile phone, tablet computer) for mobile internet and have the electricity of shooting function
Sub- equipment.
Referring initially to Fig. 1, Fig. 1 is a kind of flow diagram of face identification method provided by the embodiments of the present application, including
Following steps：
Step S101 obtains the faceform of user, and faceform is matched with default faceform.
Wherein, above-mentioned faceform can be the facial image of two dimension, or three-dimensional facial image.In this implementation
In example, default faceform's database that ownership limits the use of family can be prestored in electronic equipment, such as can in the database
To store the faceform of user oneself and household, after the faceform of active user is got, the face can be extracted
Characteristic information in model, and the characteristic information of the faceform in default faceform's database is matched.
In one embodiment, facial image of the above-mentioned faceform for two dimension.Active user is obtained by front camera
Facial image, then judge whether current face's image matches by recognition of face, wherein, exist in the prior art there are many
The basic skills of recognition of face, including：The face identification method of geometric properties, the geometric properties can be eye, nose, mouth etc.
Shape and the geometrical relationship (such as mutual distance) between them；The face identification method of line segment distance (LHD), this method
It is identified based on the line chart extracted from face gray level image；In addition, the also recognition of face side of elastic graph matching
Method etc..Recognition of face belongs to the scope of the prior art, and details are not described herein by the present invention, any face recognition technology
It is applied to the present invention.Pass through face recognition technology, you can judge whether preset faceform's database lookup to it is current
The sample that user matches.
In one embodiment, the accuracy for promotion recognition of face, above-mentioned faceform can be three-dimensional faceform.
Two-dimension human face image can be obtained by front camera at this time, wherein two-dimension human face image includes color information, then passes through scape
Deep camera obtains depth image, and depth image includes the depth of view information of face.Finally by above-mentioned two-dimension human face image and
Depth image is matched the three-dimensional face images to generate user.
Wherein, the color information in above-mentioned two-dimension human face image can be that two-dimension human face image is shown on electronic equipment screen
When showing, screen currently shows the current rgb value of the pixel of picture, can use algorithm obtain query region in pixel work as
Preceding rgb value, used algorithm can be bitmap.getPixel (int x, int y) algorithm, specifically obtain and inquire
Process sees the prior art, does not repeat further herein.
Specifically, three-dimensional face images are RGB-D (color-depth) figure.In above-described embodiment, by depth map
Before color information in picture and two-dimension human face image is matched, it is also necessary to judge the depth of each pixel in depth image
Whether information and the color information of pixel each in two-dimension human face image are corresponding, if so, can be directly in conjunction with each pixel
Depth information and color information are that can obtain the RGB-D figures namely 3-D view of face.If each pixel in depth image
Depth information and the color information of pixel each in two-dimension human face image be not corresponding, then needs according to camera and depth of field camera
The distance between and calibration information the color information of each pixel in depth image and two-dimension human face image is aligned, then
The depth information of each pixel after alignment and color information are combined again and can obtain the corresponding RGB-D figures of target.
In an embodiment, before the color information in depth image and two-dimension human face image is matched,
Two-dimension human face image can also be pre-processed, which can include image enhancement, smoothing processing, noise reduction process etc.
Deng.
Step S102 if fitting through, generates corresponding human face action according to faceform and instructs.
Wherein, the instruction of above-mentioned human face action can be phonetic order, literal order, animation instructions, be moved based on interface element
At least one of the instruction that presents a demonstration, the indirect instruction of task based access control scene.Above-mentioned human face action can be moved for human face expression
At least one of work, human eye action and mouth action.
In an embodiment, above-mentioned human face action instruction can be that facial expressions and acts instruct.For example, when faceform matches
By rear, a literal order " XX expressions please be make " or one full animation expression of generation are generated to prompt user etc..It is above-mentioned
Full animation expression can be the expression that a cartoon figure or animal etc. are personalized, before faceform fits through, cartoon
Personage is in normal emotional state, and after faceform fits through, the expression of cartoon figure changes, and user is prompted to do
Go out corresponding expression.
In other embodiment, the instruction of above-mentioned human face action can also be human eye action command, for example, eyeball to some
Direction rotation or repeatedly blink etc..Above-mentioned human face action instruction can also be that mouth action instructs, for example open one's mouth, and stuck out one's tongue
Head, beep mouth etc..
In an embodiment, above-mentioned human face action instruction is generated according to faceform, specifically, can be according to people
Face model determines the more apparent position of feature in face, then generates human face action instruction according to the position.Such as
The larger user of eyes can generate human eye action instruction, and mouth action instruction can be generated for the thicker user of lip, this
The benefit of kind way is the accuracy rate improved when electronic equipment carries out human face action identification in subsequent step.
Step S103 receives human face action of the user according to human face action instruction input, and judges the completion of human face action
Whether degree meets preset value, if satisfied, step S104 is then performed, if not satisfied, then re-executing step S102.
It, may be with the standard faces of electronic equipment in view of user when making corresponding action according to human face action instruction
The radian of lip, the amplitude of Rotation of eyeball, exaggeration degree of facial expression etc. all can shadows when acting there are deviation, for example opening one's mouth
The completeness to human face action is rung, therefore a preset value can be set, as long as being preset when the completeness of human face action reaches this
Value, you can judge that user completes above-mentioned human face action instruction.
Step S104 determines that recognition of face is verified.
In one embodiment, the time that user completes above-mentioned human face action instruction can also be obtained, if user is when default
Between above-mentioned human face action instruction is not completed in section, it is determined that recognition of face authentication failed simultaneously regenerates human face action instruction.If
User is made that the action specified, and completeness meets preset value in the preset time period after generation human face action instruction, then
Determine that recognition of face is verified.
In one embodiment, if the number of user's recognition of face authentication failed is more than preset times, electronic equipment can be with
Directly locked and store active user's image.Wherein, above-mentioned recognition of face authentication failed includes faceform's mismatch, uses
Family does not complete human face action instruction in preset time period and human face action completeness is not up to preset value.
In the embodiment of the present invention, above-mentioned electronic equipment can be any equipment with face identification functions, such as：Hand
Machine, tablet computer (Tablet Personal Computer), laptop computer (Laptop Computer), individual digital help
Manage (personal digital assistant, abbreviation PDA), mobile Internet access device (Mobile Internet Device,
) or wearable device (Wearable Device) etc. MID.
From the foregoing, it will be observed that the embodiment of the present application can obtain the faceform of user, and by faceform and default face mould
Type is matched, if fitting through, is generated corresponding human face action according to faceform and is instructed, receive user and moved according to face
Make the human face action of instruction input, and judge whether the completeness of human face action meets preset value, if satisfied, then determining that face is known
It is not verified.The embodiment of the present application further can verify human face action have on the basis of faceform verifies
Effect avoids non-permission user and cracks permission using picture or face mold etc., so as to improve the accuracy of recognition of face and peace
Quan Xing.
According to the description of a upper embodiment, illustrate the face identification method of the application by further below.
Referring to Fig. 2, Fig. 2 is the flow diagram of another face identification method provided by the embodiments of the present application, including
Following steps：
Step S201 obtains the facial image of user by the first camera.
In embodiments of the present invention, can two-dimension human face image, wherein two-dimension human face image be obtained by front camera
Including color information.Wherein, the color information in above-mentioned two-dimension human face image can be two-dimension human face image in electronic equipment screen
When being shown on curtain, screen currently shows the current rgb value of the pixel of picture, algorithm can be used to obtain pixel in query region
The current rgb value of point, used algorithm can be bitmap.getPixel (int x, int y) algorithm, specific to obtain
And query process sees the prior art, does not repeat further herein.
Step S202 obtains the face depth of view information of user by second camera.
For example, obtaining depth image by depth of field camera, depth image includes the depth of view information of face.
In other embodiment, above-mentioned depth of field camera can also be replaced with ultrasonic sensor, ultrasonic wave transmitting
Device will be reflected back toward ultrasonic wave reception when ultrasonic wave encounters barrier for the ultrasonic wave of target object transmitting preset range
Device.Wherein, ultrasonic receiver receives the sound wave of target object reflection and records from ultrasonic wave emission time to sound wave automatically
Time between at the time of being reflected back by target object.Because of transmission speed of the sound wave in transmission medium known to us, in this way
Distance between can calculating from sonic generator to target object.The ultrasound that electronic equipment receives ultrasonic sensor
Wave signal is handled, you can obtains the depth image of face, depth image includes the depth of view information of face.
Step S203, according to facial image and the three-dimensional face model of face depth of view information generation user, and by face mould
Type is matched with default faceform.
Specifically, three-dimensional face images are RGB-D (color-depth) figure.In above-described embodiment, by depth map
Before color information in picture and two-dimension human face image is matched, it is also necessary to judge the depth of each pixel in depth image
Whether information and the color information of pixel each in two-dimension human face image are corresponding, if so, can be directly in conjunction with each pixel
Depth information and color information are that can obtain the RGB-D figures namely 3-D view of face.If each pixel in depth image
Depth information and the color information of pixel each in two-dimension human face image be not corresponding, then needs according to camera and depth of field camera
The distance between and calibration information the color information of each pixel in depth image and two-dimension human face image is aligned, then
The depth information of each pixel after alignment and color information are combined again and can obtain the corresponding RGB-D figures of target.
In the present embodiment, the default three-dimensional face model data that ownership limits the use of family can be prestored in electronic equipment
The three-dimensional face model of user oneself and household can be stored in library, such as the database, is getting the three of active user
After tieing up faceform, the characteristic information in the three-dimensional face model can be extracted, and in default three-dimensional face model database
The characteristic information of three-dimensional face model matched.
Step S204 if fitting through, generates corresponding human face action according to faceform and instructs.
Wherein, the instruction of above-mentioned human face action can be phonetic order, literal order, animation instructions, be moved based on interface element
At least one of the instruction that presents a demonstration, the indirect instruction of task based access control scene.Above-mentioned human face action can be moved for human face expression
At least one of work, human eye action and mouth action.
In one embodiment, above-mentioned human face action instruction is generated according to faceform, specifically, can be according to face
Model determines the more apparent position of feature in face, then generates human face action instruction according to the position.Such as eye
The larger user of eyeball can generate human eye action instruction, by taking literal order as an example, as shown in figure 3, when three-dimensional face model matches
By when, generate literal order " eyeball is rotated according to direction shown in arrow ", with prompt user perform corresponding actions.
Step S205 instructs the position of multiple characteristic points in the facial image for obtaining user according to human face action.
Step S206 according to the relative distance between the position of multiple characteristic points, determines human face action input by user, and
Judge whether the completeness of human face action meets preset value, if satisfied, step S207 is then performed, if not satisfied, then continuing to execute
Step S204.
In the embodiment of the present application, the position of features described above point includes the position of human eye feature point.It is above-mentioned according to multiple spies
The step of levying the relative distance between the position of point, determining human face action input by user can include：
According to the relative distance between the position of multiple human eye feature points, offset distance and the direction of pupil are obtained；
According to the offset distance of pupil and direction, Rotation of eyeball action input by user is determined.
As shown in figure 4, Fig. 4 is the schematic diagram of a scenario of another face identification method provided in an embodiment of the present invention.It is above-mentioned
The position of human eye feature point can include position of lead to the hole site, the position of upper lower eyelid and left and right canthus etc., according to above-mentioned
Characteristic point position can determine that the distance that pupil deviates to the right namely human face action input by user turn right for eyeball.Into one
Step judges whether rotation amplitude meets preset value, if satisfied, step S207 is then further performed, if not satisfied, then regenerating
Human face action instructs.
Step S207, obtains the face temperature of user, and whether judges face temperature in preset temperature section, if then
Determine that recognition of face is proved to be successful, if otherwise determining recognition of face authentication failed.
In the embodiment of the present application, in order to further enhance the accuracy of recognition of face, it can also judge active user's
Whether faceform is live body, especially by whether face temperature is judged in preset temperature section, if being in, it is determined that current
The faceform of user is live body and determines that recognition of face is proved to be successful.People specifically can be obtained using infrared temperature sensor
The temperature of face, above-mentioned preset temperature section can be 36 degree or so of normal body temperature, such as 34 degree to 38 degree, and specific setting range can
It is adjusted according to the demand of user.
From the foregoing, it will be observed that the embodiment of the present application can obtain the facial image of user by the first camera, taken the photograph by second
As the face depth of view information of head acquisition user, the three-dimensional face model of user is generated according to facial image and face depth of view information,
And match faceform with default faceform, if fitting through, corresponding face is generated according to faceform and is moved
It instructs, the position of multiple characteristic points in the facial image for obtaining user is instructed according to human face action, according to multiple characteristic points
Position between relative distance, determine human face action input by user, and judge human face action completeness whether meet it is pre-
If value, if satisfied, then obtaining the face temperature of user, and whether face temperature is judged in preset temperature section, if then really
Determine recognition of face to be proved to be successful, if otherwise determining recognition of face authentication failed.The embodiment of the present application can be verified in faceform
On the basis of further human face action is verified, effectively prevent non-permission user and cracked using picture or face mold etc.
Permission, so as to improve the accuracy of recognition of face and safety.
For the ease of preferably implementing face identification method provided by the embodiments of the present application, the embodiment of the present application additionally provides
A kind of device based on above-mentioned face identification method.Wherein the meaning of noun is identical with above-mentioned face identification method, specific real
Existing details can be with the explanation in reference method embodiment.
Referring to Fig. 5, Fig. 5 is a kind of structure diagram of face identification device provided by the embodiments of the present application, the face
Identification device 30 includes：Acquisition module 301, matching module 302, generation module 303, receiving module 304, judgment module 305 with
And determining module 306；
Acquisition module 301, for obtaining the faceform of user；
Matching module 302, for faceform to be matched with default faceform；
Generation module 303, for when matching module 302 fits through, generating corresponding face according to faceform and moving
It instructs；
Receiving module 304, for receiving human face action of the user according to human face action instruction input；
Judgment module 305, for judging whether the completeness of human face action meets preset value；
Determining module 306, for when action judgment module 305 is judged as YES, determining that recognition of face is verified.
With continued reference to Fig. 6, in an embodiment, acquisition module 301 specifically includes：First acquisition submodule 3011,
Two acquisition submodules 3012 and generation submodule 3013；
First acquisition submodule 3011, for passing through the facial image that the first camera obtains user；
Second acquisition submodule 3012, for obtaining the face depth of view information of user by second camera；
Submodule 3013 is generated, for the three-dimensional face model according to facial image and face depth of view information generation user.
Receiving module 304 specifically includes：Receiving submodule 3041 and determination sub-module 3042；
Receiving submodule 3041, for instructing multiple characteristic points in the facial image for obtaining user according to human face action
Position；
Determination sub-module 3042 for the relative distance between the position according to multiple characteristic points, determines input by user
Human face action.
From the foregoing, it will be observed that face identification device 30 provided by the embodiments of the present application can obtain user's by acquisition module 301
Faceform, matching module 302 matches faceform with default faceform, if fitting through, generation module 303
Corresponding human face action instruction is generated according to faceform, receiving module 304 receives people of the user according to human face action instruction input
Face acts, and judgment module 305 judges whether the completeness of human face action meets preset value, if satisfied, then determining module 306 determines
Recognition of face is verified.The embodiment of the present application further can test human face action on the basis of faceform verifies
Card, effectively prevents non-permission user and cracks permission using picture or face mold etc., so as to improve the accurate of recognition of face
Property and safety.
The application also provides a kind of storage medium, is stored thereon with computer program, which is characterized in that the computer journey
The face identification method that implementation method embodiment provides when sequence is executed by processor.
The application also provides a kind of electronic equipment, and including memory, processor and storage on a memory and can handled
The computer program run on device, which is characterized in that implementation method embodiment provides when the processor performs described program
Face identification method.
A kind of electronic equipment is also provided in the another embodiment of the application, which can be smart mobile phone, tablet
Apparatus such as computer.As shown in fig. 7, electronic equipment 400 includes processor 401, memory 402.Wherein, processor 401 and storage
Device 402 is electrically connected.
Processor 401 is the control centre of electronic equipment 400, utilizes various interfaces and the entire electronic equipment of connection
Various pieces, by operation or load store, application program in memory 402 and calling is stored in memory 402
Data, perform electronic equipment various functions and processing data, so as to electronic equipment carry out integral monitoring.
In the present embodiment, processor 401 in electronic equipment 400 can according to the steps, by one or one with
On application program process it is corresponding instruction be loaded into memory 402, and memory is stored in run by processor 401
Application program in 402, so as to fulfill various functions：
The faceform of user is obtained, and the faceform is matched with default faceform；
If fitting through, corresponding human face action is generated according to the faceform and is instructed；
Human face action of the user according to the human face action instruction input is received, and judges the completeness of the human face action
Whether preset value is met；
If satisfied, then determine that the recognition of face is verified.
Referring to Fig. 8, Fig. 8 is electronic devices structure schematic diagram provided by the embodiments of the present application.The electronic equipment 500 can be with
Including radio frequency (RF, Radio Frequency) circuit 501, include one or more computer readable storage mediums
Memory 502, input unit 503, display unit 504, sensor 504, voicefrequency circuit 506, Wireless Fidelity (WiFi,
Wireless Fidelity) module 507, including there are one or more than one processing core processor 508 and power supply
509 grade components.It will be understood by those skilled in the art that the electronic devices structure shown in Fig. 8 is not formed to electronic equipment
It limits, can include either combining certain components or different components arrangement than illustrating more or fewer components.
Radio circuit 501 can be used for receiving and sending messages or communication process in signal send and receive, particularly, by base station
Downlink information receive after, transfer to one or more than one processor 508 handled；In addition, the data for being related to uplink are sent
To base station.In general, radio circuit 501 includes but not limited to antenna, at least one amplifier, tuner, one or more oscillations
Device, subscriber identity module (SIM, Subscriber Identity Module) card, transceiver, coupler, low noise amplification
Device (LNA, Low Noise Amplifier), duplexer etc..In addition, radio circuit 501 can also by radio communication with network
It communicates with other equipment.The wireless communication can use any communication standard or agreement, including but not limited to global mobile communication
System (GSM, Global System of Mobile communication), general packet radio service (GPRS, General
Packet Radio Service), CDMA (CDMA, Code Division Multiple Access), wideband code division it is more
Location (WCDMA, Wideband Code Division Multiple Access), long term evolution (LTE, Long Term
Evolution), Email, short message service (SMS, Short Messaging Service) etc..
Memory 502 can be used for storage application program and data.Include and can hold in the application program that memory 502 stores
Line code.Application program can form various functions module.Processor 508 is stored in the application journey of memory 502 by operation
Sequence, so as to perform various functions application and data processing.Memory 502 can mainly include storing program area and storage data
Area, wherein, storing program area can storage program area, needed at least one function application program (such as sound-playing function,
Image player function etc.) etc.；Storage data field can be stored uses created data (such as audio number according to electronic equipment
According to, phone directory etc.) etc..In addition, memory 502 can include high-speed random access memory, non-volatile deposit can also be included
Reservoir, for example, at least a disk memory, flush memory device or other volatile solid-state parts.Correspondingly, memory
502 can also include Memory Controller, to provide the access of processor 508 and input unit 503 to memory 502.
Input unit 503 can be used for receive input number, character information or user's characteristic information (such as fingerprint) and
Generate the keyboard related with user setting and function control, mouse, operating lever, optics or the input of trace ball signal.Specifically
Ground, in a specific embodiment, input unit 503 may include touch sensitive surface and other input equipments.Touch sensitive surface,
Referred to as touch display screen or Trackpad, collect user on it or neighbouring touch operation (such as user using finger, touch
The operations of any suitable object or attachment on touch sensitive surface or near touch sensitive surface such as pen), and according to preset
Formula drives corresponding attachment device.Optionally, touch sensitive surface may include both touch detecting apparatus and touch controller.
Wherein, the touch orientation of touch detecting apparatus detection user, and the signal that touch operation is brought is detected, transmit a signal to touch
Controller；Touch controller receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processing
Device 508, and the order that processor 508 is sent can be received and performed.
Display unit 504 can be used for display by information input by user or be supplied to the information and electronic equipment of user
Various graphical user interface, these graphical user interface can be made of figure, text, icon, video and its arbitrary combination.
Display unit 504 may include display panel.Optionally, liquid crystal display (LCD, Liquid Crystal may be used
Display), display surface is configured in the forms such as Organic Light Emitting Diode (OLED, Organic Light-Emitting Diode)
Plate.Further, touch sensitive surface can cover display panel, when touch sensitive surface is detected on it or after neighbouring touch operation,
Processor 508 is sent to determine the type of touch event, is followed by subsequent processing device 508 according to the type of touch event in display panel
It is upper that corresponding visual output is provided.Although in fig. 8, touch sensitive surface is realized with display panel is the component independent as two
Input and input function, but in some embodiments it is possible to touch sensitive surface and display panel are integrated and realizes and inputs and defeated
Go out function.
Electronic equipment may also include at least one sensor 505, such as optical sensor, motion sensor and other sensings
Device.Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein, ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel, and proximity sensor can close display surface when electronic equipment is moved in one's ear
Plate and/or backlight.As one kind of motion sensor, gravity accelerometer can detect in all directions (generally three axis)
The size of acceleration can detect that size and the direction of gravity when static, the application that can be used to identify mobile phone posture is (such as vertical and horizontal
Shield switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；As for electronics
The other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared ray sensor that equipment can also configure, it is no longer superfluous herein
It states.
Voicefrequency circuit 506 can provide the audio interface between user and electronic equipment by loud speaker, microphone.Audio-frequency electric
The audio data received can be converted into electric signal by road 506, be transferred to loud speaker, and it is defeated to be converted to voice signal by loud speaker
Go out；On the other hand, the voice signal of collection is converted to electric signal by microphone, and audio is converted to after being received by voicefrequency circuit 506
Data, then after audio data output processor 508 is handled, through radio circuit 501 be sent to such as another electronic equipment or
Audio data is exported to memory 502 to be further processed by person.Voicefrequency circuit 506 is also possible that earphone jack, to carry
For the communication of peripheral hardware earphone and electronic equipment.
Wireless Fidelity (WiFi) belongs to short range wireless transmission technology, and electronic equipment can be with by wireless fidelity module 507
User is helped to send and receive e-mail, webpage is browsed and accesses streaming video etc., it has provided wireless broadband internet to the user
It accesses.Although Fig. 8 shows wireless fidelity module 507, but it is understood that, and it is not belonging to the necessary structure of electronic equipment
Into, completely can as needed do not change invention essence range in and omit.
Processor 508 is the control centre of electronic equipment, utilizes each of various interfaces and the entire electronic equipment of connection
A part is stored in by running or performing the application program being stored in memory 502 and call in memory 502
Data perform the various functions of electronic equipment and processing data, so as to carry out integral monitoring to electronic equipment.Optionally, it handles
Device 508 may include one or more processing cores；Preferably, processor 508 can integrate application processor and modulation /demodulation processing
Device, wherein, the main processing operation system of application processor, user interface and application program etc., modem processor is mainly located
Reason wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 508.
Electronic equipment further includes the power supply 509 (such as battery) powered to all parts.Preferably, power supply can pass through electricity
Management system and processor 508 are logically contiguous, so as to realize management charging, electric discharge and power consumption by power-supply management system
The functions such as management.Power supply 509 can also include one or more direct current or AC power, recharging system, power supply event
Hinder the random components such as detection circuit, power supply changeover device or inverter, power supply status indicator.
Although being not shown in Fig. 8, electronic equipment can also include camera, bluetooth module etc., and details are not described herein.
When it is implemented, Yi Shang modules can be independent entity to realize, arbitrary combination can also be carried out, is made
It is realized for same or several entities, the specific implementation of more than modules can be found in the embodiment of the method for front, herein not
It repeats again.
It should be noted that one of ordinary skill in the art will appreciate that whole in the various methods of above-described embodiment or
Part steps are relevant hardware can be instructed to complete by program, which can be stored in computer-readable storage medium
It in matter, is such as stored in the memory of terminal, and is performed by least one processor in the terminal, can be wrapped in the process of implementation
Include the flow of the embodiment such as face identification method.Wherein, storage medium can include：Read-only memory (ROM, Read Only
Memory), random access memory (RAM, Random Access Memory), disk or CD etc..
A kind of face identification method provided by the embodiments of the present application, device, storage medium and electronic equipment are carried out above
It being discussed in detail, each function module can be integrated in a processing chip or modules are individually physically present,
Can also two or more modules be integrated in a module.The form that hardware had both may be used in above-mentioned integrated module is real
It is existing, it can also be realized in the form of software function module.Used herein principle and implementation of the specific case to the application
Mode is expounded, and the explanation of above example is only intended to help to understand the present processes and its core concept；Meanwhile
For those skilled in the art, according to the thought of the application, change is had in specific embodiments and applications
Place, in conclusion the content of the present specification should not be construed as the limitation to the application.
Claims (10)
1. a kind of face identification method, which is characterized in that include the following steps：
The faceform of user is obtained, and the faceform is matched with default faceform；
If fitting through, corresponding human face action is generated according to the faceform and is instructed；
User is received according to the human face action of the human face action instruction input, and judge the human face action completeness whether
Meet preset value；
If satisfied, then determine that the recognition of face is verified.
2. face identification method according to claim 1, which is characterized in that it is described obtain user faceform the step of
Including：
The facial image of the user is obtained by the first camera；
The face depth of view information of the user is obtained by second camera；
The three-dimensional face model of the user is generated according to the facial image and the face depth of view information.
3. face identification method according to claim 1, which is characterized in that the reception user is according to the human face action
The step of human face action of instruction input, includes：
The position of multiple characteristic points in the facial image of the user is obtained according to human face action instruction；
According to the relative distance between the position of the multiple characteristic point, the human face action input by user is determined.
4. face identification method according to claim 3, which is characterized in that the position of the characteristic point includes human eye feature
The position of point；
Relative distance between the position according to the multiple characteristic point determines the step of the human face action input by user
Suddenly include：
According to the relative distance between the position of the multiple human eye feature point, offset distance and the direction of pupil are obtained；
According to the offset distance of the pupil and direction, the Rotation of eyeball action input by user is determined.
5. face identification method according to claim 1, which is characterized in that determining that the recognition of face is verified it
Before, the method further includes：
The face temperature of the user is obtained, and judges the face temperature whether in preset temperature section；
If so, determine that the recognition of face is verified.
6. a kind of face identification device, which is characterized in that described device includes：Acquisition module, generation module, connects matching module
Receive module, judgment module and determining module；
The acquisition module, for obtaining the faceform of user；
The matching module, for the faceform to be matched with default faceform；
The generation module, for when the matching module fits through, corresponding face to be generated according to the faceform
Action command；
The receiving module, for receiving human face action of the user according to the human face action instruction input；
The judgment module, for judging whether the completeness of the human face action meets preset value；
The determining module, for when the action judgment module is judged as YES, determining that the recognition of face is verified.
7. face identification device according to claim 6, which is characterized in that the acquisition module specifically includes：First obtains
Take submodule, the second acquisition submodule and generation submodule；
First acquisition submodule, for passing through the facial image that the first camera obtains the user；
Second acquisition submodule, for passing through the face depth of view information that second camera obtains the user；
The generation submodule, for generating the three-dimensional people of the user according to the facial image and the face depth of view information
Face model.
8. face identification device according to claim 6, which is characterized in that the receiving module specifically includes：Receive son
Module and determination sub-module；
The receiving submodule, for obtaining multiple features in the facial image of the user according to human face action instruction
The position of point；
The determination sub-module for the relative distance between the position according to the multiple characteristic point, determines that the user is defeated
The human face action entered.
9. a kind of storage medium, is stored thereon with computer program, which is characterized in that the computer program is executed by processor
The step of Shi Shixian such as any one of claim 1-5 the methods.
10. a kind of electronic equipment, including memory, processor and storage are on a memory and the calculating that can run on a processor
Machine program, which is characterized in that the processor is realized when performing described program such as the step of any one of claim 1-5 the methods
Suddenly.
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Application publication date: 20180622 |