CN110210290A - Face picture acquisition method, device and computer equipment - Google Patents
Face picture acquisition method, device and computer equipment Download PDFInfo
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- CN110210290A CN110210290A CN201910321477.2A CN201910321477A CN110210290A CN 110210290 A CN110210290 A CN 110210290A CN 201910321477 A CN201910321477 A CN 201910321477A CN 110210290 A CN110210290 A CN 110210290A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
Abstract
The embodiment of the present application provides a kind of face picture acquisition method, device and computer equipment, wherein this method includes acquiring multiple face samples pictures of multiple users respectively by multiple image capture devices with different acquisition parameter first, and obtain the corresponding face samples pictures collection of every image capture device；Secondly it carries out the extraction of face samples pictures in the corresponding face samples pictures collection of every image capture device respectively according to preset ratio, and constitutes face picture intersection based on the face samples pictures being drawn into；The picture to be identified that finally will acquire is compared with the face samples pictures in the face picture intersection, obtains the face samples pictures with the picture match to be identified.Face picture collected in this way is more in line with the variation of actual scene, has wider application range in terms of artificial intelligence field, especially bio-identification.
Description
Technical field
This application involves field of artificial intelligence more particularly to a kind of face picture acquisition methods, device and computer
Equipment.
Background technique
During the existing performance test to face picture, for different picture collection equipment, often there is figures
Resolution ratio, pixel and the skimble-scamble problem of format of piece.
And in practical applications, face picture data use a fixed picture, but are adopted using which kind of picture
It is random for collecting equipment to carry out the acquisition of picture, so for collected face picture, can exist can not find corresponding resolution
The problem of reference base picture of rate, pixel or format, leads to not carry out follow-up test.
Summary of the invention
The embodiment of the present application provides a kind of face picture acquisition method, device and computer equipment, can be to getting
Picture to be identified carry out face samples pictures comparison, and obtain have identical acquisition parameter face samples pictures, more
Meet the variation of actual scene, there is wider application range.
In a first aspect, the embodiment of the present application provides a kind of face picture acquisition method, comprising:
Acquire multiple face samples of multiple users respectively by multiple image capture devices with different acquisition parameter
Picture, and obtain the corresponding face samples pictures collection of every image capture device；
Face sample is carried out in the corresponding face samples pictures collection of every image capture device respectively according to preset ratio
The extraction of this picture, and face picture intersection is constituted based on the face samples pictures being drawn into；
The picture to be identified that will acquire is compared with the face samples pictures in the face picture intersection, obtain with
The face samples pictures of the picture match to be identified.
Wherein in one possible implementation, described to pass through multiple image capture devices with different acquisition parameter
Before multiple the face samples pictures for acquiring multiple users respectively, further includes:
Configure the acquisition parameter of each image capture device.
Wherein in one possible implementation, described to pass through multiple image capture devices with different acquisition parameter
Multiple the face samples pictures for acquiring multiple users respectively include:
It is repeatedly captured by face of each image capture device to multiple users, is set with obtaining every Image Acquisition
Standby corresponding face samples pictures collection.
Wherein in one possible implementation, described to pass through multiple image capture devices with different acquisition parameter
Multiple face samples pictures of multiple users are acquired respectively, and obtain the corresponding face samples pictures of every image capture device
Collection, further includes:
Every face samples pictures are detected, and by the quality of every face samples pictures and preset picture quality
It is compared, and,
When the quality of the face samples pictures is not less than the preset picture quality, the face sample graph is exported
Piece to corresponding face samples pictures are concentrated.
Second aspect, the embodiment of the present application also provides a kind of face picture acquisition devices, comprising:
Acquisition module, for acquiring multiple users' respectively by multiple image capture devices with different acquisition parameter
Multiple face samples pictures, and obtain the corresponding face samples pictures collection of every image capture device；
Abstraction module, the corresponding people of every image capture device for being acquired according to preset ratio from the acquisition module
The extraction of face samples pictures is carried out in face samples pictures collection, and constitutes face picture based on the face samples pictures being drawn into
Intersection；
Comparison module, picture to be identified for will acquire and the face picture extracted by the abstraction module
Face samples pictures in intersection are compared, and obtain the face samples pictures with the picture match to be identified.
Wherein in one possible implementation, the device further include:
Configuration module, for configuring the acquisition parameter of each image capture device.
Wherein in one possible implementation, the acquisition module is specifically used for passing through each image capture device pair
The face of multiple users is repeatedly captured, to obtain the corresponding face samples pictures collection of every image capture device.
Wherein in one possible implementation, the device further include:
Detection module, for being detected to the collected every face samples pictures of the acquisition module, and will be described
The quality of every face samples pictures is compared with preset picture quality, and,
When the quality of the face samples pictures is not less than the preset picture quality, the face sample graph is exported
Piece to corresponding face samples pictures are concentrated.
The third aspect the embodiment of the present application also provides a kind of computer equipment, including memory, processor and is stored in
On the memory and the computer program that can run on the processor, the processor execute the computer program
When, realize above-mentioned face picture acquisition method.
Fourth aspect, the embodiment of the present application also provides a kind of non-transitorycomputer readable storage mediums, store thereon
There is computer program, the computer program realizes above-mentioned face picture acquisition method when being executed by processor.
In above technical scheme, multiple users are acquired respectively by multiple image capture devices with different acquisition parameter
Multiple face samples pictures, and after obtaining the corresponding face samples pictures collection of every image capture device, according to default ratio
Example carries out the extraction of face samples pictures in each face samples pictures collection respectively, and based on the face sample graph being drawn into
Piece constitutes face picture intersection, and is based on face picture intersection, carries out face samples pictures to the picture to be identified got
Comparison, and obtain corresponding face samples pictures, be more in line with the variation of actual scene, there is wider application range.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this Shen
Some embodiments please for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of the application face picture collection method one embodiment；
Fig. 2 is the flow chart of another embodiment of the application face picture collection method；
Fig. 3 is the attachment structure schematic diagram of the application face picture collection device one embodiment；
Fig. 4 is the attachment structure schematic diagram of another embodiment of the application face picture collection device；
Fig. 5 is the structural schematic diagram of the application computer equipment one embodiment.
Specific embodiment
In order to better understand the technical solution of the application, the embodiment of the present application is retouched in detail with reference to the accompanying drawing
It states.
It will be appreciated that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.Base
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
Its embodiment, shall fall in the protection scope of this application.
The term used in the embodiment of the present application is only to be not intended to be limiting merely for for the purpose of describing particular embodiments
The application.In the embodiment of the present application and the "an" of singular used in the attached claims, " described " and "the"
It is also intended to including most forms, unless the context clearly indicates other meaning.
Fig. 1 is the flow chart of the application face picture collection method one embodiment, as shown in Figure 1, the above method can be with
Include:
Step 101: acquiring multiple of multiple users respectively by multiple image capture devices with different acquisition parameter
Face samples pictures, and obtain the corresponding face samples pictures collection of every image capture device.
Specifically, above-mentioned image capture device can be any one and optical image be converted into using electronic sensor
The camera of electronic data, including but not limited to slr camera, micro- one camera etc., in practical applications, are obtained often through candid photograph
Take the corresponding face samples pictures collection of every image capture device.Wherein, the image capture device in the present embodiment has difference
Acquisition parameter, above-mentioned acquisition parameter refers generally to resolution ratio, pixel and format of picture etc..Preferably, the present embodiment can be right
The acquisition parameter of above-mentioned image capture device is configured in advance, and intermediate-resolution is generically configured to every more than or equal to 72 pixels
Inch, pixel is typically greater than or equal to 2,000,000, format generally .jpg .png .bmp etc..
Step 102: according to preset ratio respectively in the corresponding face samples pictures collection of every image capture device into
The extraction of pedestrian's face samples pictures, and face picture intersection is constituted based on the face samples pictures being drawn into.
Specifically, above-mentioned preset ratio can in specific implementation, voluntarily according to system performance and/or realization demand etc.
Setting, the present embodiment are not construed as limiting the size of above-mentioned preset ratio, for example, above-mentioned preset ratio can be 10%.
Step 103: the picture to be identified that will acquire is compared with the face samples pictures in above-mentioned face picture intersection
It is right, obtain the face samples pictures with above-mentioned picture match to be identified.
Specifically, the application is by the resolution ratio, pixel and format of picture to be identified and with the people of different acquisition parameter
Face samples pictures are compared, to obtain corresponding face samples pictures.Below by taking resolution ratio as an example to above-mentioned comparison process into
Row description:
First, it would be desirable to first obtain the resolution ratio of picture to be identified, this can generally pass through computer applied algorithm
Click by right key selects attribute to view；Secondly, it would be desirable to be found in face picture intersection and picture to be identified
Resolution ratio closest to the even face samples pictures that are consistent with；Finally, by searching for the face samples pictures arrived, Bian Kegen
Factually border testing requirement carries out further operating for tester.
In practical applications, since the above-mentioned face samples pictures found are often multiple, therefore can be by comparing above-mentioned
Similarity between picture and face samples pictures to be identified, to determine piece identity's information, specifically, above-mentioned similarity
Some similarity algorithms can often be taken to complete by comparing, and including but not limited to scale invariant feature converts (Scale-
invariant feature transform；Hereinafter referred to as SIFT) algorithm or hash algorithm etc..In the present embodiment, using remaining
String similarity algorithm calculates the similarity between picture and face samples pictures to be identified, and specifically, the present embodiment passes through
It is similar between them to measure to measure the cosine value in inner product of vectors space between picture to be identified and multiple face samples pictures
Degree.Example:
It is general similar by the cosine of feature vector between formula (1) calculating picture to be identified and face samples pictures
Degree:
Wherein, in formula (1)Indicate the corresponding feature vector of picture to be identified,Indicate that face samples pictures institute is right
The feature vector answered.
Wherein, the value of cos θ indicates that the close degree of picture and face samples pictures to be identified is higher closer to 1.In this way,
Can the identity information according to recorded in face samples pictures determine the piece identity of picture to be identified.
In above-mentioned face picture acquisition method, acquired respectively by multiple image capture devices with different acquisition parameter
Multiple face samples pictures of multiple users, and after obtaining the corresponding face samples pictures collection of every image capture device, it presses
Carry out the extraction of face samples pictures in each face samples pictures collection respectively according to preset ratio, and based on the people being drawn into
Face samples pictures constitute face picture intersection, and are based on face picture intersection, carry out face to the picture to be identified got
The comparison of samples pictures, in comparison process, available corresponding face samples pictures, while the face picture intersection can be with
Suitable for the testing requirement of a variety of different face samples pictures, it is more in line with the variation of actual scene, has and widely answers
Use range.
Fig. 2 is the flow chart of another embodiment of the application face picture collection method, as shown in Fig. 2, the application Fig. 1 institute
Show in embodiment, step 101 may include:
Step 201: every face samples pictures are detected, and by the quality of every face samples pictures with it is preset
Picture quality is compared.
Step 202: when the quality of above-mentioned face samples pictures is not less than the preset picture quality, exporting the people
Face samples pictures to corresponding face samples pictures are concentrated.
Furthermore, it is understood that the meaning of picture quality mainly include two aspect, i.e., the degree true to nature of image and image can
Degree of understanding.Picture quality directly depends on the shadow of many factors such as the optical property, picture contrast, noise of instrument of imaging equipment
It rings, it can each link offer monitoring means such as acquisition, processing to image by quality evaluation.
Equally, above-mentioned preset picture quality can in specific implementation, certainly according to system performance and/or realization demand etc.
Row setting, the present embodiment are not construed as limiting above-mentioned preset picture quality (degree and intelligibility true to nature) size, for example, on
State degree and intelligibility true to nature can for 90%, and have in degree true to nature and intelligibility one lower than 90% when, be considered as the people
The quality of face samples pictures is lower than the preset picture quality.
Fig. 3 is the attachment structure schematic diagram of the application face picture collection device one embodiment, as shown in figure 3, above-mentioned
Device may include:
Acquisition module 31, for acquiring multiple users respectively by multiple image capture devices with different acquisition parameter
Multiple face samples pictures, and obtain the corresponding face samples pictures collection of every image capture device.
Specifically, above-mentioned image capture device can be any one and optical image be converted into using electronic sensor
The camera of electronic data, including but not limited to slr camera, micro- one camera etc., in practical applications, are obtained often through candid photograph
Take the corresponding face samples pictures collection of every image capture device.Wherein, the image capture device in the present embodiment has difference
Acquisition parameter, above-mentioned acquisition parameter refers generally to resolution ratio, pixel and format of picture etc..Preferably, the dress of the present embodiment
Setting further includes configuration module 30, and above-mentioned configuration module 30 for matching the acquisition parameter of above-mentioned image capture device in advance
It sets, intermediate-resolution is generically configured to be typically greater than or equal to 2,000,000, format one more than or equal to 72 pixel per inch, pixel
As have .jpg .png .bmp etc..
Abstraction module 32, every image capture device for acquiring according to preset ratio from above-mentioned acquisition module are corresponding
The extraction of face samples pictures is carried out in face samples pictures collection, and constitutes face sample based on the face samples pictures being drawn into
This picture intersection.
Specifically, above-mentioned preset ratio can in specific implementation, voluntarily according to system performance and/or realization demand etc.
Setting, the present embodiment are not construed as limiting the size of above-mentioned preset ratio, for example, above-mentioned preset ratio can be 10%.
Comparison module 33, picture to be identified for will acquire and the above-mentioned face figure extracted by above-mentioned abstraction module
Face samples pictures in piece intersection are compared, and obtain the face samples pictures with above-mentioned picture match to be identified.
Specifically, the application is by the resolution ratio, pixel and format of picture to be identified and with the people of different acquisition parameter
Face samples pictures are compared, to obtain corresponding face samples pictures.Below by taking resolution ratio as an example to above-mentioned comparison process into
Row description:
Firstly, this can generally pass through computer application current embodiment require that first obtaining the resolution ratio of picture to be identified
Program, which click by right key, selects attribute to view；Secondly, current embodiment require that found in face picture intersection with to
Identify the closest face samples pictures being even consistent with of the resolution ratio of picture；Finally, by searching for the face sample graph arrived
Piece can carry out further operating for tester according to actual test demand.
In practical applications, since the above-mentioned face samples pictures found are often multiple, therefore can be by comparing above-mentioned
Similarity between picture and face samples pictures to be identified, to determine piece identity's information, specifically, above-mentioned similarity
Some similarity algorithms can often be taken to complete by comparing, and including but not limited to scale invariant feature converts (Scale-
invariant feature transform；Hereinafter referred to as SIFT) algorithm or hash algorithm etc..In the present embodiment, using remaining
String similarity algorithm calculates the similarity between picture and face samples pictures to be identified, and specifically, the present embodiment passes through
It is similar between them to measure to measure the cosine value in inner product of vectors space between picture to be identified and multiple face samples pictures
Degree.Example:
It is general similar by the cosine of feature vector between formula (1) calculating picture to be identified and face samples pictures
Degree:
Wherein, in formula (1)Indicate the corresponding feature vector of picture to be identified,Indicate that face samples pictures institute is right
The feature vector answered.
Wherein, the value of cos θ indicates that the close degree of picture and face samples pictures to be identified is higher closer to 1.In this way,
Can the identity information according to recorded in face samples pictures determine the piece identity of picture to be identified.
In above-mentioned face picture acquisition method, acquisition module 31 is set by multiple Image Acquisition with different acquisition parameter
Back-up does not acquire multiple face samples pictures of multiple users, and obtains the corresponding face samples pictures of every image capture device
Collection and then the every image capture device acquired from above-mentioned acquisition module according to preset ratio by abstraction module 32 are corresponding
The extraction of face samples pictures is carried out in face samples pictures collection, and constitutes face figure based on the face samples pictures being drawn into
Piece intersection；The picture to be identified that finally will acquire again by comparison module 33 with pass through the above-mentioned of above-mentioned abstraction module 32 extraction
Face samples pictures in face picture intersection are compared, and obtain the face samples pictures with above-mentioned picture match to be identified,
It is more in line with the variation of actual scene, there is wider application range.
Fig. 4 is the attachment structure schematic diagram of another embodiment of the application face picture collection device, as shown in figure 4, on
Stating device can also include:
Detection module 41, for being detected to the collected every face samples pictures of above-mentioned acquisition module, and will be every
The quality for opening face samples pictures is compared with preset picture quality, and,
When the quality of above-mentioned face samples pictures is not less than above-mentioned preset picture quality, above-mentioned face sample graph is exported
Piece to corresponding face samples pictures are concentrated.
Furthermore, it is understood that the meaning of picture quality mainly include two aspect, i.e., the degree true to nature of image and image can
Degree of understanding.Picture quality directly depends on the shadow of many factors such as the optical property, picture contrast, noise of instrument of imaging equipment
It rings, it can each link offer monitoring means such as acquisition, processing to image by quality evaluation.
Equally, above-mentioned preset picture quality can in specific implementation, certainly according to system performance and/or realization demand etc.
Row setting, the present embodiment are not construed as limiting above-mentioned preset picture quality (degree and intelligibility true to nature) size, for example, on
State degree and intelligibility true to nature can for 90%, and have in degree true to nature and intelligibility one lower than 90% when, be considered as the people
The quality of face samples pictures is lower than above-mentioned preset picture quality.
Fig. 5 is the structural schematic diagram of the application computer equipment one embodiment, and above-mentioned computer equipment may include depositing
Reservoir, processor and it is stored in the computer program that can be run on above-mentioned memory and on above-mentioned processor, above-mentioned processor
When executing above-mentioned computer program, face picture acquisition method provided by the embodiments of the present application may be implemented.
Wherein, above-mentioned computer equipment can be server, such as: Cloud Server or above-mentioned computer equipment can also
Think electronic equipment, such as: smart phone, smartwatch, personal computer (Personal Computer；Hereinafter referred to as:
PC), the smart machines such as laptop or tablet computer, the present embodiment do not limit the specific form of above-mentioned computer equipment
It is fixed.
Fig. 5 shows the block diagram for being suitable for the exemplary computer device 52 for being used to realize the application embodiment.Fig. 5 is shown
Computer equipment 52 be only an example, should not function to the embodiment of the present application and use scope bring any restrictions.
As shown in figure 5, computer equipment 52 is showed in the form of universal computing device.The component of computer equipment 52 can be with
Including but not limited to: one or more processor or processing unit 56, system storage 78 connect different system components
The bus 58 of (including system storage 78 and processing unit 56).
Bus 58 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (Industry Standard
Architecture；Hereinafter referred to as: ISA) bus, microchannel architecture (Micro Channel Architecture；Below
Referred to as: MAC) bus, enhanced isa bus, Video Electronics Standards Association (Video Electronics Standards
Association；Hereinafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component
Interconnection；Hereinafter referred to as: PCI) bus.
Computer equipment 52 typically comprises a variety of computer system readable media.These media can be it is any can be by
The usable medium that computer equipment 52 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 78 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (Random Access Memory；Hereinafter referred to as: RAM) 70 and/or cache memory 72.Computer equipment 52
It may further include other removable/nonremovable, volatile/non-volatile computer system storage mediums.Only conduct
Citing, storage system 74 can be used for reading and writing immovable, non-volatile magnetic media, and (Fig. 5 do not show, commonly referred to as " hard disk
Driver ").Although being not shown in Fig. 5, the magnetic for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided
Disk drive, and to removable anonvolatile optical disk (such as: compact disc read-only memory (Compact Disc Read Only
Memory；Hereinafter referred to as: CD-ROM), digital multi CD-ROM (Digital Video Disc Read Only
Memory；Hereinafter referred to as: DVD-ROM) or other optical mediums) read-write CD drive.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 58.Memory 78 may include that at least one program produces
Product, the program product have one group of (for example, at least one) program module, and it is each that these program modules are configured to perform the application
The function of embodiment.
Program/utility 80 with one group of (at least one) program module 82 can store in such as memory 78
In, such program module 82 includes --- but being not limited to --- operating system, one or more application program, other programs
It may include the realization of network environment in module and program data, each of these examples or certain combination.Program mould
Block 82 usually executes function and/or method in embodiments described herein.
Computer equipment 52 can also be with one or more external equipments 54 (such as keyboard, sensing equipment, display 64
Deng) communication, can also be enabled a user to one or more equipment interact with the computer equipment 52 communicate, and/or with make
The computer equipment 52 any equipment (such as network interface card, the modulatedemodulate that can be communicated with one or more of the other calculating equipment
Adjust device etc.) communication.This communication can be carried out by input/output (I/O) interface 62.Also, computer equipment 52 may be used also
To pass through network adapter 60 and one or more network (such as local area network (Local Area Network；Hereinafter referred to as:
LAN), wide area network (Wide Area Network；Hereinafter referred to as: WAN) and/or public network, for example, internet) communication.Such as figure
Shown in 5, network adapter 60 is communicated by bus 58 with other modules of computer equipment 52.Although should be understood that in Fig. 5 not
It shows, other hardware and/or software module can be used in conjunction with computer equipment 52, including but not limited to: microcode, equipment are driven
Dynamic device, redundant processing unit, external disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 56 by the program that is stored in system storage 78 of operation, thereby executing various function application and
Data processing, such as realize face picture acquisition method provided by the embodiments of the present application.
The embodiment of the present application also provides a kind of non-transitorycomputer readable storage medium, is stored thereon with computer journey
Face picture acquisition method provided by the embodiments of the present application may be implemented in sequence, above-mentioned computer program when being executed by processor.
Above-mentioned non-transitorycomputer readable storage medium can appointing using one or more computer-readable media
Meaning combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer can
Reading storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device
Or device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes:
Electrical connection, portable computer diskette, hard disk, random access memory (RAM), read-only storage with one or more conducting wires
Device (Read Only Memory；Hereinafter referred to as: ROM), erasable programmable read only memory (Erasable
Programmable Read Only Memory；Hereinafter referred to as: EPROM) or flash memory, optical fiber, portable compact disc are read-only deposits
Reservoir (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.Herein, computer can
Read storage medium can be it is any include or storage program tangible medium, the program can be commanded execution system, device or
The use or in connection of person's device.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission is for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with one or more programming languages or combinations thereof come write for execute the application operation computer
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
It is related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (Local
Area Network；Hereinafter referred to as: LAN) or wide area network (Wide Area Network；Hereinafter referred to as: WAN) it is connected to user
Computer, or, it may be connected to outer computer (such as being connected using ISP by internet).
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is contained at least one embodiment or example of the application.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present application, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing custom logic function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be by the application
Embodiment person of ordinary skill in the field understood.
Depending on context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determination " or " in response to detection ".Similarly, depend on context, phrase " if it is determined that " or " if detection
(condition or event of statement) " can be construed to " when determining " or " in response to determination " or " when the detection (condition of statement
Or event) when " or " in response to detection (condition or event of statement) ".
It should be noted that terminal involved in the embodiment of the present application can include but is not limited to personal computer
(PersonalComputer；Hereinafter referred to as: PC), personal digital assistant (PersonalDigital Assistant；Following letter
Claim: PDA), radio hand-held equipment, tablet computer (Tablet Computer), mobile phone, MP3 player, MP4 player etc..
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
It is each that device (can be personal computer, server or network equipment etc.) or processor (Processor) execute the application
The part steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory；Hereinafter referred to as: ROM), random access memory (Random Access Memory；Hereinafter referred to as: RAM),
The various media that can store program code such as magnetic or disk.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.
Claims (10)
1. a kind of face picture acquisition method, which is characterized in that the method includes:
Acquire multiple face samples pictures of multiple users respectively by multiple image capture devices with different acquisition parameter,
And obtain the corresponding face samples pictures collection of every image capture device；
Face sample graph is carried out in the corresponding face samples pictures collection of every image capture device respectively according to preset ratio
The extraction of piece, and face picture intersection is constituted based on the face samples pictures being drawn into；
The picture to be identified that will acquire is compared with the face samples pictures in the face picture intersection, obtain with it is described
The face samples pictures of picture match to be identified.
2. the method according to claim 1, wherein described adopted by multiple images with different acquisition parameter
Collection equipment is acquired respectively before multiple face samples pictures of multiple users, further includes:
Configure the acquisition parameter of each image capture device.
3. the method according to claim 1, wherein described adopted by multiple images with different acquisition parameter
Collection equipment acquires multiple face samples pictures of multiple users respectively and includes:
It is repeatedly captured by face of each image capture device to multiple users, to obtain every image capture device pair
The face samples pictures collection answered.
4. the method according to claim 1, wherein described adopted by multiple images with different acquisition parameter
Collection equipment acquires multiple face samples pictures of multiple users respectively, and obtains the corresponding face sample of every image capture device
Pictures, further includes:
Every face samples pictures are detected, and the quality of every face samples pictures and preset picture quality are carried out
Compare, and,
When the quality of the face samples pictures is not less than the preset picture quality, the face samples pictures are exported extremely
Corresponding face samples pictures are concentrated.
5. a kind of face picture acquisition device, which is characterized in that the device includes:
Acquisition module, for acquired respectively by multiple image capture devices with different acquisition parameter multiple users multiple
Face samples pictures, and obtain the corresponding face samples pictures collection of every image capture device；
Abstraction module, the corresponding face sample of every image capture device for being acquired according to preset ratio from the acquisition module
The extraction of face samples pictures is carried out in this pictures, and is constituted face picture based on the face samples pictures being drawn into and closed
Collection；
Comparison module, picture to be identified for will acquire and the face picture intersection extracted by the abstraction module
In face samples pictures be compared, obtain and the face samples pictures of the picture match to be identified.
6. device according to claim 5, which is characterized in that the device further include:
Configuration module, for configuring the acquisition parameter of each image capture device.
7. device according to claim 5, which is characterized in that
The acquisition module is specifically used for repeatedly capturing the face of multiple users by each image capture device, with
To the corresponding face samples pictures collection of every image capture device.
8. device according to claim 5, which is characterized in that the device further include:
Detection module, for being detected to the collected every face samples pictures of the acquisition module, and by every face
The quality of samples pictures is compared with preset picture quality, and,
When the quality of the face samples pictures is not less than the preset picture quality, the face samples pictures are exported extremely
Corresponding face samples pictures are concentrated.
9. a kind of computer equipment, which is characterized in that including memory, processor and be stored on the memory and can be in institute
The computer program run on processor is stated, when the processor executes the computer program, realizes such as Claims 1 to 4
Any one of described in method.
10. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the meter
Calculation machine program realizes method as described in any one of claims 1 to 4 when being executed by processor.
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