CN107622246A - Face identification method and Related product - Google Patents
Face identification method and Related product Download PDFInfo
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- CN107622246A CN107622246A CN201710879937.4A CN201710879937A CN107622246A CN 107622246 A CN107622246 A CN 107622246A CN 201710879937 A CN201710879937 A CN 201710879937A CN 107622246 A CN107622246 A CN 107622246A
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Abstract
The embodiment of the invention discloses a kind of face identification method and Related product.Method includes：Mobile terminal determines the first scene of mobile terminal；When not including first scene in detecting default mapping relations set, recognition of face strategy corresponding to the first scene is generated；The mapping relations established between first scene and the recognition of face strategy of generation, the mapping relations are added in the mapping relations set；It is validated user according to recognition of face strategy identification active user corresponding to first scene of generation.The embodiment of the present invention is advantageous to improve security, reliability and the accuracy of recognition of face.
Description
Technical field
The present invention relates to technical field of mobile terminals, and in particular to a kind of face identification method and Related product.
Background technology
With society progress and the reach of science, information exchange is more and more frequent, for ensure information safety, need to
Family identity is verified, therefore, can usually use bio-identification, such as：Fingerprint recognition, recognition of face, iris recognition, vein are known
Not, the biological identification technology such as personal recognition.
In the prior art, face recognition process is likely to occur in various scenes, in the matching process can be caused
Because even some extraneous factors cause registered user, the situation that it fails to match also occurs, reduces the efficiency of recognition of face
And the degree of accuracy.
The content of the invention
The embodiments of the invention provide a kind of face identification method and Related product, the safety of recognition of face can be improved
Property, reliability and accuracy.
In a first aspect, the embodiment of the present invention provides a kind of mobile terminal, including processor, the face of above-mentioned processor is connected
Image collecting device and memory, wherein,
Above-mentioned human face image collecting device, for gathering multiple facial images of active user；
Above-mentioned memory, for storing default facial image template；
Above-mentioned processor, for determining the first scene of mobile terminal；And detecting default mapping relations set
In when not including above-mentioned first scene, generate recognition of face strategy corresponding to the first scene；And establish above-mentioned first scene with
Mapping relations between the above-mentioned recognition of face strategy of generation, the mapping relations are added in above-mentioned mapping relations set；With
And recognition of face strategy identification active user is validated user according to corresponding to above-mentioned first scene of generation.
Second aspect, the embodiment of the present invention provide a kind of face identification method, including：
Determine the first scene of mobile terminal；
When not including above-mentioned first scene in detecting default mapping relations set, people corresponding to the first scene is generated
Face recognition strategy；
The mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added
It is added in above-mentioned mapping relations set；
It is validated user according to recognition of face strategy identification active user corresponding to above-mentioned first scene of generation.
The third aspect, the embodiment of the present invention provide a kind of mobile terminal, including processing unit,
Above-mentioned processing unit, for determining the first scene of mobile terminal；
Above-mentioned processing unit, it is additionally operable to when not including above-mentioned first scene in detecting default mapping relations set,
Generate recognition of face strategy corresponding to the first scene；
Above-mentioned processing unit, it is additionally operable to the mapping established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation
Relation, the mapping relations are added in above-mentioned mapping relations set；
Above-mentioned processing unit, it is additionally operable to the current use of recognition of face strategy identification according to corresponding to above-mentioned first scene of generation
Family is validated user.
Fourth aspect, the embodiment of the present invention provide a kind of mobile terminal, including processor, memory, communication interface and
One or more programs, wherein, said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
Manage device to perform, said procedure includes being used for the instruction for performing the step in first aspect either method of the embodiment of the present invention.
5th aspect, the embodiments of the invention provide a kind of computer-readable recording medium, wherein, above computer is readable
Storage medium stores the computer program for electronic data interchange, wherein, above computer program causes computer to perform such as
Part or all of step described in first aspect either method of the embodiment of the present invention, above computer include mobile terminal.
6th aspect, the embodiments of the invention provide a kind of computer program product, wherein, above computer program product
Non-transient computer-readable recording medium including storing computer program, above computer program are operable to make calculating
Machine is performed such as the part or all of step described in first aspect either method of the embodiment of the present invention.The computer program product
Can be a software installation bag, above computer includes mobile terminal.
As can be seen that in the embodiment of the present invention, mobile terminal determines the first scene of mobile terminal first, secondly, is examining
Measure when not including above-mentioned first scene in default mapping relations set, generate recognition of face strategy corresponding to the first scene,
Then, the mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added
Into above-mentioned mapping relations set, finally, according to the current use of recognition of face strategy identification corresponding to above-mentioned first scene of generation
Family is validated user.Be advantageous to improve security, reliability and the accuracy of recognition of face.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of structural representation of mobile terminal provided in an embodiment of the present invention；
Fig. 2 is a kind of schematic flow sheet of face identification method provided in an embodiment of the present invention；
Fig. 3 is a kind of schematic flow sheet of face identification method provided in an embodiment of the present invention；
A kind of structural representation of mobile terminal disclosed in Fig. 4 inventive embodiments；
Fig. 5 is a kind of functional unit composition block diagram of mobile terminal disclosed in the embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Term " first ", " second " in description and claims of this specification and above-mentioned accompanying drawing etc. are to be used to distinguish
Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that
It is to cover non-exclusive include.Such as process, method, system, product or the equipment for containing series of steps or unit do not have
The step of being defined in the step of having listed or unit, but alternatively also including not listing or unit, or alternatively also wrap
Include for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can wrap in conjunction with the embodiments
In at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Mobile terminal involved by the embodiment of the present invention can include the various handheld devices with radio communication function,
Mobile unit, wearable device, computing device or other processing equipments for being connected to radio modem, and various forms
User equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as mobile terminal.
Mobile terminal described by the embodiment of the present invention is provided with biological image acquisition device, the biological image acquisition device
Fingerprint picture collector, iris image acquiring device and human face image collecting device are specifically included, wherein, fingerprint image acquisition
Device can be that fingerprint sensor module, iris image acquiring device can include infrared light supply and iris camera, face figure
As harvester can be universal camera shooting head mould group, such as front camera.The embodiment of the present invention is situated between below in conjunction with the accompanying drawings
Continue.
Referring to Fig. 1, Fig. 1 is that the embodiments of the invention provide a kind of structural representation of mobile terminal 100, above-mentioned movement
Terminal 100 includes：Housing, touching display screen, mainboard, battery and subplate, infrared light supply 21, iris camera are provided with mainboard
22nd, front camera 23, processor 110, memory 120 and sim card slot etc., oscillator, integral sound chamber, VOOC are provided with subplate
Interface and fingerprint module 24 are filled in sudden strain of a muscle, and above-mentioned infrared light supply 21 and iris camera 22 form the iris image of the mobile terminal 100
Harvester, above-mentioned front camera 23 form the human face image collecting device of the mobile terminal 100, above-mentioned fingerprint sensor mould
Group 24 forms the fingerprint picture collector of the mobile terminal 100, above-mentioned iris image acquiring device, human face image collecting device
The biological image acquisition device of the mobile terminal 100 is referred to as with fingerprint picture collector, wherein, carrying out recognition of face
When, multiple facial images of human face image collecting device collection active user can be passed through.Wherein,
Above-mentioned human face image collecting device, for gathering multiple facial images of active user；
Above-mentioned memory, for storing default facial image template；
Above-mentioned processor 110, for determining the first scene of mobile terminal；And detecting default mapping relations collection
When not including above-mentioned first scene in conjunction, recognition of face strategy corresponding to the first scene is generated；And establish above-mentioned first scene
Mapping relations between the above-mentioned recognition of face strategy of generation, the mapping relations are added in above-mentioned mapping relations set；
And recognition of face strategy identification active user is validated user according to corresponding to above-mentioned first scene of generation.
As can be seen that in the embodiment of the present invention, mobile terminal determines the first scene of mobile terminal first, secondly, is examining
Measure when not including above-mentioned first scene in default mapping relations set, generate recognition of face strategy corresponding to the first scene,
Then, the mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added
Into above-mentioned mapping relations set, finally, according to the current use of recognition of face strategy identification corresponding to above-mentioned first scene of generation
Family is validated user.It can be seen that due to carrying out first determining the first scene being presently in during recognition of face, and it is default detecting
Mapping relations set in when not including the first scene generation suitable for above-mentioned first scene recognition of face strategy, by upper
When stating the recognition of face strategy of generation to recognize active user being registered user, mapping relations set is updated, so that next time is in
The recognition of face strategy can be directly used during the first scene, in this way, be advantageous to improve the security of recognition of face, reliability and
Accuracy.
In a possible example, in terms of recognition of face strategy corresponding to the above-mentioned scene of generation first, above-mentioned processing
Device 110 is specifically used for：The relevant information that face recognition process is carried out in above-mentioned first scene is obtained, above-mentioned relevant information includes
User operation records in above-mentioned face recognition process；And the people according to corresponding to above-mentioned relevant information generates above-mentioned first scene
Face recognition strategy, wherein, operation corresponding with above-mentioned user operation records in recognition of face strategy corresponding to above-mentioned first scene
To perform operation automatically.
In a possible example, in terms of the relevant information of above-mentioned acquisition face recognition process, above-mentioned processor 110
It is specifically used for：Obtain multiple facial images and contextual data under above-mentioned first scene；And according to multiple above-mentioned facial images
The relevant information of face recognition process is determined with above-mentioned contextual data；And obtain the relevant information of face recognition process.
In a possible example, above-mentioned processor 110 is additionally operable to carry out recognition of face in above-mentioned first scene
When default anomalous event occurring in journey, the relevant information of above-mentioned default anomalous event is obtained, by the phase of above-mentioned default anomalous event
Information is closed to be added in recognition of face strategy corresponding to above-mentioned first scene.
In a possible example, above-mentioned processor 110 is additionally operable to determine the second scene of above-mentioned mobile terminal；And
If detecting, above-mentioned default mapping relations set includes above-mentioned second scene, it is determined that face corresponding to above-mentioned second scene
Recognition strategy；It is above-mentioned and the recognition of face strategy according to corresponding to above-mentioned second scene identifies that active user is validated user
Recognition of face strategy corresponding to second scene is different from recognition of face strategy corresponding to above-mentioned first scene.
Referring to Fig. 2, Fig. 2 is the embodiments of the invention provide a kind of schematic flow sheet of face identification method, it is applied to
Mobile terminal, as illustrated, this face identification method includes：
S201, mobile terminal determine the first scene of mobile terminal.
Wherein, the first scene is that mobile terminal carries out recognition of face scene corresponding during recognition of face.
Wherein, the first scene can be position scene.Because terminal can be in the change in location of user in movement
Mobile state so that mobile terminal can be at different position scenes, and position scene includes indoor scene and outdoor scene.Room
Interior scene scene such as cinema, supermarket, market, coffee shop, gymnasium, outdoor scene such as stadium, park, trip
The scenes such as paradise, shopping mall.Wherein, the first scene can be user's scene.The posture of user, such as user's face is towards movement
Terminal front camera angle is different, and the expression difference of user can affect to recognition of face；User's face whether there is
Shelter, such as user wears glasses or wear a pair of spectacles, user do not put down bang or combed bang, user has beard or not had
There is beard to turn into the factor for influenceing recognition of face；User's face changes on a large scale in itself, such as elapses user over time
Face changes, and either user makes up, changes different adornments, not making up or situations such as scar occurs on the face in user.Above-mentioned user field
Jing Douhui causes shadow to the man face image acquiring process in face recognition process, feature point extraction process, Feature Points Matching process
Ring.
Wherein, the first scene can be environment scene.Due to the position that mobile terminal is presently in may not be one can
With the position of refinement description, but current environmental factor can affect to face recognition process, therefore can should
Scene is defined as environment scene.When mobile terminal is in environment scene, may dark, dark may lead
Cause can not photograph clearly facial image；Or light is very high, light is excessive compared with the very high photo that photographs of may result in
Exposure make it that clearly face can not be photographed；Or current environment has many barriers, the barrier may block face
Or entering the facial image photographed causes recognition of face to produce error.
Wherein, above-mentioned scene type is divided into according to the factor in face recognition process, impacted to recognition of face
Division, scene type includes position scene, user's scene, environment scene, if there is the place of coincidence in above-mentioned three kinds of scenes,
Mobile terminal can preset the priority of scene classification, if such as it can be a field in the scene of position to recognize the first scene
A scene in scape or user's scene, but scene priority position scene is higher than user's scene, it may be determined that first
Scene is the corresponding scene in the scene of position.
Wherein, the corresponding face recognition strategy of each scene, a face recognition strategy go for multiple scenes.
Wherein, mobile terminal can first determine the first scene residing for mobile terminal before recognition of face is carried out, mobile whole
End is likely to be at some scene or is switched to another scene from a scene, in this way, being advantageous to further determine that people
Face recognition strategy.
Wherein, mobile terminal determines the first current scene, and the validation testing of the first scene can be that mobile terminal passes through
Global positioning system (Global Positioning System, abbreviation GPS) is positioned to identify to the current location of mobile terminal
Go out the first scene being presently in, can either be manually selected by user the first scene that mobile terminal is currently located or, it is mobile
Terminal obtains the contextual data of current scene by sensor, and the first scene is determined according to contextual data.
S202, above-mentioned mobile terminal are raw when not including above-mentioned first scene in detecting default mapping relations set
Into recognition of face strategy corresponding to the first scene.
Wherein, mobile terminal is when carrying out face, the face recognition algorithms model that mobile terminal can be used to prestore, that is, moves
The recognition of face strategy set that terminal prestores.The recognition of face strategy set includes multiple recognition of face strategies, and each face is known
The not corresponding recognition of face scene of strategy, each recognition of face scene and a face recognition strategy form a mapping and closed
System, multiple recognition of face scenes and multiple recognition of face strategies form the set of mapping relations.
Wherein, mobile terminal, according to the default mapping relations set of the first scenario queries, is being examined it is determined that after the first scene
Measure when not including the first scene in default mapping relations set, show that current mobile terminal does not have suitable for the first scene
Recognition of face strategy, therefore, mobile terminal can generate recognition of face strategy corresponding to the first scene.
Wherein, mobile terminal can capture the current use under the first scene when it is not default scene to detect the first scene
Multiple facial images or the more contextual datas of crawl at family, for generating recognition of face strategy corresponding to the first scene.
S203, the mapping that above-mentioned mobile terminal is established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation are closed
System, the mapping relations are added in above-mentioned mapping relations set.
Wherein, mobile terminal generates recognition of face strategy suitable for the first scene by the mode such as training or learning
Afterwards, the recognition of face strategy of generation and the mapping relations of the first scene can be established, and the mapping relations are added to mapping relations
In set, realize to mapping the renewal of set of relationship, in this way, have interests when mobile terminal is again at the first scene, can
Directly to use the recognition of face strategy of above-mentioned generation.
S204, above-mentioned mobile terminal recognition of face strategy according to corresponding to above-mentioned first scene of generation identify active user
For validated user.
Wherein, mobile terminal identifies whether the active user under the first scene is conjunction according to the recognition of face strategy of generation
Method user, it can more accurately and efficiently complete face recognition process.
As can be seen that in the embodiment of the present invention, mobile terminal determines the first scene of mobile terminal first, secondly, is examining
Measure when not including above-mentioned first scene in default mapping relations set, generate recognition of face strategy corresponding to the first scene,
Then, the mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added
Into above-mentioned mapping relations set, finally, according to the current use of recognition of face strategy identification corresponding to above-mentioned first scene of generation
Family is validated user.It can be seen that due to carrying out first determining the first scene being presently in during recognition of face, and it is default detecting
Mapping relations set in when not including the first scene generation suitable for above-mentioned first scene recognition of face strategy, by upper
When stating the recognition of face strategy of generation to recognize active user being registered user, mapping relations set is updated, so that next time is in
The recognition of face strategy can be directly used during the first scene, in this way, be advantageous to improve the security of recognition of face, reliability and
Accuracy.
In a possible example, recognition of face strategy corresponding to the above-mentioned scene of generation first, including：Obtain above-mentioned
The relevant information of face recognition process is carried out in first scene, above-mentioned relevant information includes the user in above-mentioned face recognition process
Operation note；The recognition of face strategy according to corresponding to above-mentioned relevant information generates above-mentioned first scene, wherein, above-mentioned first scene
Operation corresponding with above-mentioned user operation records is to perform operation automatically in corresponding recognition of face strategy.
Wherein, acquisition for mobile terminal carries out the relevant information of face recognition process in the first scene, and relevant information includes
The interactive operation record of user, the i.e. relevant information can be the information for being used to carry out recognition of face of user's input, mobile whole
End can according to the relevant information generate the first scene corresponding to recognition of face strategy, also, corresponding to the first scene face know
Operation corresponding with user operation records can be the operation that mobile terminal performs automatically not in strategy, i.e., in this recognition of face
Cheng Zhong, being interacted by user and mobile terminal, have input relevant information, mobile terminal can carry out self study and training, and
So that when being in the first scene next time, it is not necessary to prompt user to input relevant information.
For example, the first scene scene of mobile terminal is position scene, mobile terminal is located at cinema, the first scene
For the original scene of film, and in mobile terminal without and cinema's scene corresponding to recognition of face strategy.First, mobile terminal
Multiple facial images of active user can be captured under cinema's scene, it is found that the facial image that gets is unintelligible, face figure
As it is unintelligible be probably because cinema's dark or light color have impact on picture effect effect, or user is seeing
Factor, the above-mentioned factors such as the angle of facing moving terminal is nonstandard during film cause mobile terminal can not be to the people in facial image
Face characteristic point is positioned, and now, mobile terminal can be exported for prompting active user to carry out hand labeled human face characteristic point
Prompting message, or user actively the human face characteristic point in facial image is marked so that mobile terminal can be accurate
Ground gets the human face characteristic point in facial image.
In addition, the face characteristic dot image got under the scene may be unintelligible, mobile terminal intelligent can enter
Row study and training, become apparent from order that obtaining face characteristic dot image, take and facial image is pre-processed, such as carry
The pretreatments such as bright, sharpening, recognition of face is being carried out so as to extract the face characteristic dot image become apparent from.
In addition, in another recognition of face strategy, what mobile terminal can be intelligent is learnt and is trained, according to user
The actively human face characteristic point of mark, choose optimal human face characteristic point and matched or chosen less human face characteristic point progress
Matching, recognition of face is improved the match is successful rate with this, even also can not successfully carry out face knowledge so as to solve validated user
Other problem.
Wherein, in above-mentioned recognition of face strategy, mobile terminal has the function of study and training, is grasped at this by user
Note down after successfully carrying out recognition of face under the first scene, when subsequent movement terminal is again at the first scene, it is no longer necessary to
User inputs relevant information.
It can be seen that in this example, mobile terminal obtains the relevant information of face recognition process according to user operation records, and then
Recognition of face strategy corresponding to the first scene is obtained, and mobile terminal has the ability of Active Learning and training, is advantageous to move
Dynamic terminal will carry out recognition of face in the first scene using recognition of face strategy corresponding to the first scene, and then be advantageous to improve
Security, reliability and the accuracy of recognition of face.
In a possible example, the relevant information of above-mentioned acquisition face recognition process, including：Obtain above-mentioned first
Multiple facial images and contextual data under scape；Recognition of face is determined according to multiple above-mentioned facial images and above-mentioned contextual data
The relevant information of journey；Obtain the relevant information of face recognition process.
Wherein, mobile terminal can capture current when it is not default scene to detect the first scene under the first scene
Multiple facial images and contextual data of user, and determine according to multiple facial images and contextual data the phase of face recognition process
Information is closed, so as to obtain relevant information.For example, acquisition for mobile terminal determines multiple to after multiple facial images of active user
A most clearly facial image in facial image, but still at least one feature in this facial image can not be clicked through
Row positioning, for example eyebrow can not be positioned, it may be determined that relevant information is determines the information of active user's eyebrow position, now
The eyebrow in image can be manuallyd locate by active user.
Wherein, mobile terminal, can be to the definition of multiple images after multiple facial images of active user are got
Judged, choose definition highest facial image, the facial image and facial image template are matched.
It can be seen that in this example, multiple facial images of acquisition for mobile terminal active user and the scene letter of first time scene
Breath, so that it is determined that the relevant information in face recognition process, be advantageous to improve the reliability and accuracy of recognition of face.
In a possible example, the above method also includes：Carried out in above-mentioned first scene in face recognition process
When default anomalous event occurs, the relevant information of above-mentioned default anomalous event is obtained, the correlation of above-mentioned default anomalous event is believed
Breath is added in recognition of face strategy corresponding to above-mentioned first scene.
Wherein, mobile terminal is during recognition of face is carried out, it is possible that anomalous event, anomalous event are probably
The deadlock of mobile terminal, restart, interim card, blank screen, sudden strain of a muscle are moved back etc., and event, user will can occur different in face recognition process medium-high frequency
Ordinary affair part is arranged to default anomalous event, mobile whole when mobile terminal default anomalous event occurs in face recognition process
End confirmation the reason for causing anomalous event to occur and factor of influence, eliminate or avoid after intelligence learning is carried out above-mentioned influence because
The appearance of son so that subsequently when carrying out recognition of face, be not in or default anomalous event occurs in reduction.
It can be seen that in this example, the relevant information of above-mentioned default anomalous event is added to above-mentioned first scene by mobile terminal
In corresponding recognition of face strategy, so as to occur in face recognition process the situation of default anomalous event carry out intelligence learning and
Training, the situation that so can reduce or avoid default anomalous event to occur.
In a possible example, the above method also includes：Determine the second scene of above-mentioned mobile terminal；If detect
Above-mentioned default mapping relations set includes above-mentioned second scene, it is determined that recognition of face plan corresponding to above-mentioned second scene
Slightly；Identify that active user is validated user according to recognition of face strategy corresponding to above-mentioned second scene, above-mentioned second scene pair
The recognition of face strategy answered is different from recognition of face strategy corresponding to above-mentioned first scene.
Wherein, when it is the second scene to detect mobile terminal, and the second scene is one in default mapping relations
Individual scene, i.e., in mapping relations set, have with the second scene corresponding to recognition of face strategy, now, it may be determined that the second scene
Corresponding recognition of face strategy, and whether recognition of face strategy identification active user is that registration is used according to corresponding to the second scene
Family.
Wherein, because the first scene is not default scene, the second scene is default scene, therefore, corresponding to the second scene
Recognition of face strategy is different from recognition of face strategy corresponding to the first scene.
It can be seen that in this example, one in the second scene that mobile terminal is presently in is the mapping relations set to prestore
During individual scene, mobile terminal can directly determine recognition of face strategy corresponding to the second scene and carry out recognition of face, and then determine
Whether active user is validated user, is advantageous to improve efficiency, reliability and the accuracy of recognition of face.
Referring to Fig. 3, Fig. 3 is the embodiments of the invention provide a kind of schematic flow sheet of face identification method, it is applied to
Mobile terminal, as illustrated, this face identification method includes：
S301, mobile terminal determine the first scene of mobile terminal.
S302, above-mentioned mobile terminal obtain when not including above-mentioned first scene in detecting default mapping relations set
The relevant information that face recognition process is carried out in above-mentioned first scene is taken, above-mentioned relevant information includes above-mentioned face recognition process
In user operation records.
S303, above-mentioned mobile terminal recognition of face strategy according to corresponding to above-mentioned relevant information generates above-mentioned first scene,
Wherein, operation corresponding with above-mentioned user operation records is to perform behaviour automatically in recognition of face strategy corresponding to above-mentioned first scene
Make.
S304, the mapping that above-mentioned mobile terminal is established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation are closed
System, the mapping relations are added in above-mentioned mapping relations set.
S305, above-mentioned mobile terminal recognition of face strategy according to corresponding to above-mentioned first scene of generation identify active user
For validated user.
As can be seen that in the embodiment of the present invention, mobile terminal determines the first scene of mobile terminal first, secondly, is examining
Measure when not including above-mentioned first scene in default mapping relations set, generate recognition of face strategy corresponding to the first scene,
Then, the mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added
Into above-mentioned mapping relations set, finally, according to the current use of recognition of face strategy identification corresponding to above-mentioned first scene of generation
Family is validated user.It can be seen that due to carrying out first determining the first scene being presently in during recognition of face, and it is default detecting
Mapping relations set in when not including the first scene generation suitable for above-mentioned first scene recognition of face strategy, by upper
When stating the recognition of face strategy of generation to recognize active user being registered user, mapping relations set is updated, so that next time is in
The recognition of face strategy can be directly used during the first scene, in this way, be advantageous to improve the security of recognition of face, reliability and
Accuracy.
It is consistent with the embodiment shown in above-mentioned Fig. 2, referring to Fig. 4, Fig. 4 is provided in an embodiment of the present invention a kind of mobile
The structural representation of terminal, as illustrated, the mobile terminal includes processor, memory, communication interface and one or more
Program, wherein, said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned computing device,
Said procedure includes being used for the instruction for performing following steps；
Determine the first scene of mobile terminal；
When not including above-mentioned first scene in detecting default mapping relations set, people corresponding to the first scene is generated
Face recognition strategy；
The mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added
It is added in above-mentioned mapping relations set；
It is validated user according to recognition of face strategy identification active user corresponding to above-mentioned first scene of generation.
As can be seen that in the embodiment of the present invention, mobile terminal determines the first scene of mobile terminal first, secondly, is examining
Measure when not including above-mentioned first scene in default mapping relations set, generate recognition of face strategy corresponding to the first scene,
Then, the mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added
Into above-mentioned mapping relations set, finally, according to the current use of recognition of face strategy identification corresponding to above-mentioned first scene of generation
Family is validated user.It can be seen that due to carrying out first determining the first scene being presently in during recognition of face, and it is default detecting
Mapping relations set in when not including the first scene generation suitable for above-mentioned first scene recognition of face strategy, by upper
When stating the recognition of face strategy of generation to recognize active user being registered user, mapping relations set is updated, so that next time is in
The recognition of face strategy can be directly used during the first scene, in this way, be advantageous to improve the security of recognition of face, reliability and
Accuracy.
In a possible example, in terms of recognition of face strategy corresponding to the above-mentioned scene of generation first, said procedure
In instruction be specifically used for perform following steps：The relevant information that face recognition process is carried out in above-mentioned first scene is obtained,
Above-mentioned relevant information includes the user operation records in above-mentioned face recognition process；Above-mentioned first is generated according to above-mentioned relevant information
Recognition of face strategy corresponding to scene, wherein, operate and remember with above-mentioned user in recognition of face strategy corresponding to above-mentioned first scene
Operation corresponding to record is to perform operation automatically.
In a possible example, in terms of the relevant information of above-mentioned acquisition face recognition process, in said procedure
Instruction is specifically used for performing following steps：Obtain multiple facial images and contextual data under above-mentioned first scene；According to above-mentioned
Multiple facial images and above-mentioned contextual data determine the relevant information of face recognition process；Obtain the related letter of face recognition process
Breath.
In a possible example, the instruction in said procedure is additionally operable to perform following steps：In above-mentioned first scene
When default anomalous event occurring in middle carry out face recognition process, the relevant information of above-mentioned default anomalous event is obtained, will be above-mentioned
The relevant information of default anomalous event is added in recognition of face strategy corresponding to above-mentioned first scene.
In a possible example, the instruction in said procedure is additionally operable to perform following steps：Determine above-mentioned mobile whole
Second scene at end；If detecting, above-mentioned default mapping relations set includes above-mentioned second scene, it is determined that above-mentioned second
Recognition of face strategy corresponding to scene；Identify that active user is legal according to recognition of face strategy corresponding to above-mentioned second scene
User, recognition of face strategy corresponding to above-mentioned second scene are different from recognition of face strategy corresponding to above-mentioned first scene.
It is above-mentioned that mainly the scheme of the embodiment of the present invention is described from the angle of method side implementation procedure.It is appreciated that
, for mobile terminal in order to realize above-mentioned function, it comprises perform the corresponding hardware configuration of each function and/or software mould
Block.Those skilled in the art should be readily appreciated that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, the present invention can be realized with the combining form of hardware or hardware and computer software.Some function actually with
The mode of hardware or computer software driving hardware performs, application-specific and design constraint bar depending on technical scheme
Part.Professional and technical personnel can specifically realize described function to each using distinct methods, but this reality
Now it is not considered that beyond the scope of this invention.
The embodiment of the present invention can carry out the division of functional unit according to above method example to mobile terminal, for example, can
Each functional unit is divided with corresponding each function, two or more functions can also be integrated in a processing unit
In.Above-mentioned integrated unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.Need
It is noted that the division in the embodiment of the present invention to unit is schematical, only a kind of division of logic function is actual real
There can be other dividing mode now.
In the case of using integrated unit, Fig. 5 shows one kind of mobile terminal involved in above-described embodiment
Possible functional unit forms block diagram.Mobile terminal 500 includes：Processing unit 502 and collecting unit 503.Processing unit 502 is used
Management is controlled in the action to mobile terminal, for example, processing unit 502 is used to support mobile terminal to perform the step in Fig. 2
Step S301-S305 in rapid S201-S204, Fig. 3 and/or other processes for techniques described herein.Collecting unit
503 multiple facial images for gathering active user, mobile terminal can also include memory cell 501, for storing movement
The program code and data of terminal.
Wherein, above-mentioned processing unit 502, for determining the first scene of mobile terminal；And for detect it is default
Mapping relations set in when not including above-mentioned first scene, generate recognition of face strategy corresponding to the first scene；And it is used for
The mapping relations established between above-mentioned first scene and the above-mentioned recognition of face strategy of generation, the mapping relations are added to above-mentioned
In mapping relations set；And it is for recognition of face strategy identification active user corresponding to above-mentioned first scene according to generation
Validated user.
In a possible example, in terms of recognition of face strategy corresponding to the above-mentioned scene of generation first, above-mentioned processing
Unit 502 is specifically used for：Obtain the relevant information that face recognition process is carried out in above-mentioned first scene, above-mentioned relevant information bag
Include the user operation records in above-mentioned face recognition process；And for generating above-mentioned first scene pair according to above-mentioned relevant information
The recognition of face strategy answered, wherein, it is corresponding with above-mentioned user operation records in recognition of face strategy corresponding to above-mentioned first scene
Operation to perform operation automatically.
In a possible example, in terms of the relevant information of above-mentioned acquisition face recognition process, above-mentioned processing unit
502 are specifically used for：Obtain multiple facial images and contextual data under above-mentioned first scene；And for according to multiple above-mentioned people
Face image and above-mentioned contextual data determine the relevant information of face recognition process；And for obtaining the correlation of face recognition process
Information.
In a possible example, above-mentioned processing unit 502 is additionally operable to carry out recognition of face in above-mentioned first scene
During when default anomalous event occurs, the relevant information of above-mentioned default anomalous event is obtained, by above-mentioned default anomalous event
Relevant information is added in recognition of face strategy corresponding to above-mentioned first scene.
In a possible example, above-mentioned processing unit 502 is additionally operable to determine the second scene of above-mentioned mobile terminal；With
And if for detecting that above-mentioned default mapping relations set includes above-mentioned second scene, it is determined that above-mentioned second scene is corresponding
Recognition of face strategy；And identify that active user is legal for the recognition of face strategy according to corresponding to above-mentioned second scene
User, recognition of face strategy corresponding to above-mentioned second scene are different from recognition of face strategy corresponding to above-mentioned first scene.
Wherein, processing unit 502 can be processor or controller, and collecting unit 503 can be biological image acquisition dress
Put, such as iris image acquiring device, facial image acquisition device, fingerprint picture collector, memory cell 501 can be deposited
Reservoir.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium is stored for electricity
The computer program that subdata exchanges, the computer program cause computer to perform any as described in above-mentioned embodiment of the method
The part or all of step of method, above computer include mobile terminal.
The embodiment of the present invention also provides a kind of computer program product, and above computer program product includes storing calculating
The non-transient computer-readable recording medium of machine program, above computer program are operable to make computer perform side as described above
The part or all of step of either method described in method embodiment.The computer program product can be a software installation
Bag, above computer include mobile terminal.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, can be by another way
Realize.For example, device embodiment described above is only schematical, such as the division of said units, it is only one kind
Division of logic function, can there is an other dividing mode when actually realizing, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.Another, shown or discussed is mutual
Coupling direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The above-mentioned unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer-readable access to memory.Based on such understanding, technical scheme substantially or
Person say the part to be contributed to prior art or the technical scheme all or part can in the form of software product body
Reveal and, the computer software product is stored in a memory, including some instructions are causing a computer equipment
(can be personal computer, server or network equipment etc.) performs all or part of each embodiment above method of the present invention
Step.And foregoing memory includes：USB flash disk, read-only storage (ROM, Read-Only Memory), random access memory
(RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with the medium of store program codes.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
To instruct the hardware of correlation to complete by program, the program can be stored in a computer-readable memory, memory
It can include：Flash disk, read-only storage (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：RAM), disk or CD etc..
The embodiment of the present invention is described in detail above, specific case used herein to the principle of the present invention and
Embodiment is set forth, and the explanation of above example is only intended to help the method and its core concept for understanding the present invention；
Meanwhile for those of ordinary skill in the art, according to the thought of the present invention, can in specific embodiments and applications
There is change part, in summary, this specification content should not be construed as limiting the invention.
Claims (14)
1. a kind of mobile terminal, it is characterised in that including processor, connect the human face image collecting device of the processor and deposit
Reservoir, wherein,
The human face image collecting device, for gathering multiple facial images of active user；
The memory, for storing default facial image template；
The processor, for determining the first scene of mobile terminal；And in default mapping relations set is detected not
During including first scene, recognition of face strategy corresponding to the first scene is generated；And establish first scene and generation
The recognition of face strategy between mapping relations, the mapping relations are added in the mapping relations set；And root
It is validated user according to recognition of face strategy identification active user corresponding to first scene of generation.
2. mobile terminal according to claim 1, it is characterised in that in recognition of face corresponding to the first scene of the generation
Tactful aspect, the processor are specifically used for：Obtain the relevant information that face recognition process is carried out in first scene, institute
Stating relevant information includes the user operation records in the face recognition process；And according to relevant information generation described the
Recognition of face strategy corresponding to one scene, wherein, operated in recognition of face strategy corresponding to first scene with the user
Operation corresponding to record is to perform operation automatically.
3. mobile terminal according to claim 2, it is characterised in that in the relevant information of the acquisition face recognition process
Aspect, the processor are specifically used for：Obtain multiple facial images and contextual data under first scene；And according to institute
State multiple facial images and the contextual data determines the relevant information of face recognition process；And obtain face recognition process
Relevant information.
4. according to the mobile terminal described in claim any one of 1-3, it is characterised in that the processor is additionally operable to described
When carrying out occurring in face recognition process default anomalous event in one scene, the relevant information of the default anomalous event is obtained,
The relevant information of the default anomalous event is added in recognition of face strategy corresponding to first scene.
5. mobile terminal according to claim 1, it is characterised in that the processor is additionally operable to determine the of mobile terminal
Two scenes；And if detect that default mapping relations set includes second scene, it is determined that second scene pair
The recognition of face strategy answered；And the recognition of face strategy according to corresponding to second scene identifies that active user is legal use
Family, recognition of face strategy corresponding to second scene are different from recognition of face strategy corresponding to first scene.
A kind of 6. face identification method, it is characterised in that including：
Determine the first scene of mobile terminal；
When not including first scene in detecting default mapping relations set, generate face corresponding to the first scene and know
Not strategy；
The mapping relations established between first scene and the recognition of face strategy of generation, the mapping relations are added to
In the mapping relations set；
It is validated user according to recognition of face strategy identification active user corresponding to first scene of generation.
7. according to the method for claim 6, it is characterised in that recognition of face strategy corresponding to the first scene of the generation,
Including：
The relevant information that face recognition process is carried out in first scene is obtained, the relevant information is known including the face
User operation records during not；
The recognition of face strategy according to corresponding to the relevant information generates first scene, wherein, first scene is corresponding
Recognition of face strategy in operation corresponding with the user operation records to perform operation automatically.
8. according to the method for claim 7, it is characterised in that the relevant information for obtaining face recognition process, including：
Obtain multiple facial images and contextual data under first scene；
The relevant information of face recognition process is determined according to multiple described facial images and the contextual data；
Obtain the relevant information of face recognition process.
9. according to the method described in claim any one of 6-8, it is characterised in that methods described also includes：
When carrying out occurring in face recognition process default anomalous event in first scene, the default anomalous event is obtained
Relevant information, the relevant information of the default anomalous event is added to recognition of face strategy corresponding to first scene
In.
10. according to the method for claim 6, it is characterised in that methods described also includes：
Determine the second scene of the mobile terminal；
If detecting, the default mapping relations set includes second scene, it is determined that corresponding to second scene
Recognition of face strategy；
Identify that active user is validated user according to recognition of face strategy corresponding to second scene, second scene pair
The recognition of face strategy answered is different from recognition of face strategy corresponding to first scene.
A kind of 11. mobile terminal, it is characterised in that including processing unit,
The processing unit, for determining the first scene of mobile terminal；
The processing unit, it is additionally operable to when not including first scene in detecting default mapping relations set, generates
Recognition of face strategy corresponding to first scene；
The processing unit, it is additionally operable to establish the mapping between first scene and the recognition of face strategy of generation and closes
System, the mapping relations are added in the mapping relations set；
The processing unit, being additionally operable to the recognition of face strategy identification active user according to corresponding to first scene of generation is
Validated user.
12. mobile terminal according to claim 11, it is characterised in that know in face corresponding to the first scene of the generation
Strategy aspect, the processing unit are not specifically used for：Obtain the related letter that face recognition process is carried out in first scene
Breath, the relevant information include the user operation records in the face recognition process；And for according to the relevant information
Generate recognition of face strategy corresponding to first scene, wherein, in recognition of face strategy corresponding to first scene with institute
Operation corresponding to user operation records is stated to perform operation automatically.
A kind of 13. mobile terminal, it is characterised in that including processor, memory, communication interface and one or more programs,
Wherein, one or more of programs are stored in the memory, and are configured by the computing device, the journey
Sequence includes being used for the instruction that perform claim requires the step in any one of 6-10 method.
A kind of 14. computer-readable recording medium, it is characterised in that it stores the computer program for electronic data interchange,
Wherein, the computer program causes computer to perform the method as described in claim any one of 6-10, the computer bag
Include mobile terminal.
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| CN201710879937.4A CN107622246B (en) | 2017-09-26 | 2017-09-26 | Face recognition method and related product |
| PCT/CN2018/100102 WO2019062347A1 (en) | 2017-09-26 | 2018-08-10 | Facial recognition method and related product |
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| CN107622246B (en) | 2020-07-10 |
| WO2019062347A1 (en) | 2019-04-04 |
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