CN108446596A - Iris 3D 4 D datas acquisition system based on Visible Light Camera matrix and method - Google Patents
Iris 3D 4 D datas acquisition system based on Visible Light Camera matrix and method Download PDFInfo
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- CN108446596A CN108446596A CN201810152224.2A CN201810152224A CN108446596A CN 108446596 A CN108446596 A CN 108446596A CN 201810152224 A CN201810152224 A CN 201810152224A CN 108446596 A CN108446596 A CN 108446596A
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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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
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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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
Abstract
The present invention provides a kind of iris 3D 4 D datas acquisition system and method based on Visible Light Camera matrix.The system includes：Arc bearing structure on the support structure is arranged in support construction, is arranged in more cameras of the formation camera matrix in arc bearing structure, and the data processing unit being connect with more cameras；More cameras obtain several iris images, and several iris images are transmitted to data processing unit for being acquired to iris feature information；Data processing unit, for handling several iris images.Acquisition method of the present invention includes：Several iris images are obtained by more cameras；Several iris images that more cameras obtain are transmitted to central processor equipment to be handled and calculated, the iris 3D 4 D datas of acquisition target are generated.The embodiment of the present invention carries out the acquisition of iris feature information using more camera control technologies, can significantly improve the collecting efficiency of iris feature information.
Description
Technical field
The present invention relates to physical characteristics collecting technical field, especially a kind of iris 3D tetra- based on Visible Light Camera matrix
Dimension data acquisition system and method.
Background technology
Iris is intrinsic one of the physiology or behavioural characteristic of biology as biological characteristic, has certain uniqueness and stabilization
Property, i.e., the diversity ratio between certain iris feature of any two biology is larger, and iris feature will not generally occur with the time
Prodigious variation, this allows for the scenes such as the authentication information that iris feature is well suited for applying in authentication or identifying system
In.
Iris characteristic data is acquired using single fixed-focus camera mostly at present, it is specific that single fixed-focus camera can only acquire some
Angle, or need to adjust camera to acquire the iris feature of different angle, actual use get up it is inconvenient, it is relatively complicated,
Therefore this technical problem urgently to be resolved hurrily.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly
State the iris 3D 4 D datas acquisition system and method based on Visible Light Camera matrix of problem.
The iris 3D 4 D data acquisition systems based on Visible Light Camera matrix that an embodiment of the present invention provides a kind of, packet
It includes：Support construction, the arc bearing structure being arranged in the support construction, the formation being arranged in the arc bearing structure
More cameras of camera matrix, and the data processing unit that is connect with the more cameras；
The more cameras obtain several iris images, and will several described irises for being acquired to iris information
Image transmitting is to the data processing unit；
The data processing unit, for handling several described iris images.
Optionally, the data processing unit specifically includes：
Extractor, for extracting respective characteristic point in several described iris images；
Generator, for based on respective characteristic point in several iris images described in extraction, generating the characteristic point of iris
Cloud data；
Composer, the 3D models for building iris according to the feature point cloud data, to realize adopting for iris 3D data
Collection.
Optionally, the more cameras are additionally operable to：The time data of record acquisition iris information, and it is transmitted to the data
Processing unit；
The composer in the data processing unit is additionally operable to：
According to the feature point cloud data and the time data, the iris 3D models with time dimension are built, with reality
The acquisition of existing iris 3D 4 D datas.
Optionally, the generator is additionally operable to：According to the spy of respective characteristic point in several iris images described in extraction
Sign, carries out the matching of characteristic point, establishes matched characteristic point data collection；
According to the optical information of more cameras, relative position of each camera relative to iris spatially, and root are calculated
The spatial depth information of the characteristic point in several described iris images is calculated according to the relative position；
According to the spatial depth information of matched characteristic point data collection and characteristic point, the feature point cloud data of iris is generated.
Optionally, the feature of respective characteristic point is special using scale invariant feature conversion SIFT in several described iris images
Sign describes son to describe.
Optionally, the generator is additionally operable to：According to the optical information of more cameras, each is calculated using light-stream adjustment
Relative position of the camera relative to iris spatially.
Optionally, the spatial depth information of the characteristic point in several described iris images includes：Spatial positional information and face
Color information.
Optionally, the composer is additionally operable to：
Set the reference dimension of 3D models to be built；According to the space of the reference dimension and the feature point cloud data
Location information determines the bulk of each characteristic point in the feature point cloud data, to build iris 3D models；Or
Set the reference dimension of 3D models to be built；According to the space of the reference dimension and the feature point cloud data
Location information determines the bulk of each characteristic point in the feature point cloud data, to build iris 3D models；According to structure
The iris 3D models and the time data built generate the iris 3D models with time dimension.
An embodiment of the present invention provides a kind of iris 3D 4 D data acquisition methods based on Visible Light Camera matrix, packet
It includes：Several iris images are obtained by more cameras, and several described iris images are transmitted at central processor equipment
Reason and calculating, generate the iris 3D 4 D datas of acquisition target；Wherein, the more cameras include first group of camera and second group
Camera；First group of camera and second group of camera focus respectively to the left and right eye of acquisition target and acquire the more of multiple angles
Width iris image, and record the time data for acquiring several iris images.
Optionally, wherein by several described iris images be transmitted to central processor equipment handled and calculated including：
Respective characteristic point in several described iris images of extraction；
Based on respective characteristic point in several iris images described in extraction, according in several iris images described in extraction
The feature of respective characteristic point carries out the matching of characteristic point, establishes matched characteristic point data collection；
According to the optical information of more cameras, relative position of each camera relative to iris spatially, and root are calculated
The spatial depth information of the characteristic point in several described iris images is calculated according to the relative position；
According to the spatial depth information of matched characteristic point data collection and characteristic point, the feature point cloud data of iris is generated；
Iris 3D models are built according to the feature point cloud data, to realize the acquisition of iris 3D data；Or according to institute
Feature point cloud data and the time data are stated, the iris 3D models with time dimension are built, to realize tetra- dimensions of iris 3D
According to acquisition.
Optionally, wherein by several described iris images be transmitted to central processor equipment handled and calculated including：
To several described iris image optimization processings, including automatic exposure, automatic white balance, auto-focusing and/or image
Deformity correction；
Several described iris images are inputted into registration Algorithm model, registration is carried out and registration data is calculated, based on described
Registration data generates the iris 3D data of the acquisition target.
Optionally, wherein several described iris images are inputted into registration Algorithm model, registration is carried out and registration number is calculated
According to, the iris 3D data of the acquisition target are generated based on the registration data, including：
Several described iris images are inputted to the registration Algorithm model built based on SIFT algorithms, registration number is calculated
According to；
The registration data is inputted into 3D Data Synthesis models, generates iris 3D data.
The iris 3D 4 D datas acquisition system and side that an embodiment of the present invention provides a kind of based on Visible Light Camera matrix
Method, the system include support construction, and arc bearing structure on the support structure, the shape being arranged in arc bearing structure is arranged
At more cameras of camera matrix, and the data processing unit that is connect with more cameras；More cameras are used for iris feature
Information is acquired, and obtains several iris images, and several iris images are transmitted to data processing unit；Data processing unit
For handling several iris images.It can be seen that the embodiment of the present invention carries out iris using more camera control technologies
The acquisition of characteristic information can significantly improve the collecting efficiency of iris feature information.
Also, the embodiment of the present invention completely restores iris in sky using the characteristic information of iris spatially is collected
Between on various features, provide unlimited possibility for the application of subsequent iris data.
Further, parallel computation of the embodiment of the present invention based on central processing unit and graphics processor, can be rapidly and efficiently
It realizes the processing of characteristic information and puts the generation of cloud in ground.Also, using scale invariant feature conversion SIFT feature description son knot
The computation capability for closing special graph processor, can fast implement the generation of the matching and space characteristics point cloud of characteristic point.
In addition, using unique sizing calibration method, the bulk of any characteristic point of iris can be quickly and accurately extracted, generates rainbow
Film 3D models, to realize the acquisition of 3D data.In addition, the embodiment of the present invention uses unique sizing calibration method, it can be accurate
The bulk for rapidly extracting any characteristic point of iris, generates the iris 3D models with time dimension, to realize four dimensions
According to acquisition.
Further, method for registering provided in this embodiment utilizes space geometry coordinate transformation relation, based on solid geometry
The converter technique of triangulation methodology carries out inverse transformation according to structure light depth image, finds the coordinate of two images corresponding points
Transformation relation reduces picture noise by Gaussian filter, is conducive to image characteristics extraction, solves the extraction of traditional characteristic point.
Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, below the special specific implementation mode for lifting the present invention.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit are common for this field
Technical staff will become clear.Attached drawing only for the purpose of illustrating preferred embodiments, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：
Fig. 1 illustrates the iris 3D 4 D datas acquisition system according to an embodiment of the invention based on Visible Light Camera matrix
The structure chart of system；
Fig. 2 illustrates the iris 3D 4 D datas acquisition according to another embodiment of the present invention based on Visible Light Camera matrix
The structure chart of system；
Fig. 3 illustrates the iris 3D 4 D datas acquisition system according to an embodiment of the invention based on Visible Light Camera matrix
The schematic diagram of system；
Fig. 4 illustrates showing for the internal module of bearing structure in acquisition system and method shown in Fig. 3 and external connection
It is intended to；
Fig. 5 illustrates serial ports integration module, camera matrix and central processing module in acquisition system and method shown in Fig. 3
Connection schematic diagram；
Fig. 6 illustrates the flow chart of iris 3D data creation methods according to the preferred embodiment of the invention；
Fig. 7 illustrates the flow diagram of Feature Points Extraction according to the ... of the embodiment of the present invention.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
It should be noted that：3D 4 D datas in the present invention refer to three-dimensional space data binding time dimension data institute shape
At data, three dimensions binding time dimension refers to：Multiple same time intervals or different time intervals, different angle, no
With the data acquisition system of image or image formation situations such as orientation or different conditions.
In order to solve the above-mentioned technical problem, an embodiment of the present invention provides a kind of iris 3D based on Visible Light Camera matrix
4 D data acquisition system.Fig. 1 shows that the iris 3D according to an embodiment of the invention based on Visible Light Camera matrix is four-dimensional
The structure chart of data collecting system, in Fig. 1, the iris 3D 4 D datas acquisition system 100 based on Visible Light Camera matrix have
Body may include：Support construction 110, the arc bearing structure 120 being arranged in support construction 110 are arranged in arc carrying knot
More cameras 130 of camera matrix are formed on structure 120, and the data processing unit 140 being connect with more cameras 130；
More cameras 130 obtain several iris images for being acquired to iris feature information, and by several irises
Image transmitting is to data processing unit 140；
Data processing unit 140, for handling several iris images.
The iris 3D 4 D data acquisition systems based on Visible Light Camera matrix that an embodiment of the present invention provides a kind of, this is
System includes support construction, arc bearing structure on the support structure is arranged, the formation camera being arranged in arc bearing structure
More cameras of matrix, and the data processing unit that is connect with more cameras；More cameras be used for iris feature information into
Row acquisition, obtains several iris images, and several iris images are transmitted to data processing unit；Data processing unit for pair
Several iris images are handled.It can be seen that the embodiment of the present invention carries out iris feature letter using more camera control technologies
The acquisition of breath can significantly improve the collecting efficiency of iris feature information.
In the alternative embodiment of the present invention, as shown in Fig. 2, the data processing unit 140 of figure 1 above displaying specifically can be with
Including：Extractor 141, the generator 142 being connect with extractor 141 and the composer 143 being connect with generator 142.
Extractor 141, for extracting respective characteristic point in several iris images；
Generator 142 generates the characteristic point cloud of iris for respective characteristic point in several iris images based on extraction
Data；
Composer 143, for building iris 3D models according to feature point cloud data, to realize the acquisition of iris 3D data.
In the alternative embodiment of the present invention, more cameras 130 are additionally operable to the time number of record acquisition iris feature information
According to, and it is transmitted to data processing unit 140；
Composer 143 in data processing unit 140 is additionally operable to according to feature point cloud data and time data, and structure has
The iris 3D models of time dimension, to realize the acquisition of iris 4 D data.
In the alternative embodiment of the present invention, generator 142 shown in figure 2 above is in several iris images based on extraction
In respective characteristic point be specifically additionally operable to when generating the feature point cloud data of iris：
According to the feature of respective characteristic point in several iris images of extraction, the matching of characteristic point is carried out, is established matched
Characteristic point data collection；
According to the optical information of more cameras, relative position of each camera relative to iris spatially, and root are calculated
The spatial depth information of the characteristic point in several iris images is calculated according to relative position；And
According to the spatial depth information of matched characteristic point data collection and characteristic point, the feature point cloud data of iris is generated.
Here, SIFT (Scale-Invariant may be used in the feature of respective characteristic point in several iris images
Feature Transform, scale invariant feature conversion) Feature Descriptor describes.SIFT feature description has 128 spies
Description vectors are levied, the feature of 128 aspects of any characteristic point can be described on direction and scale, significantly improves and feature is retouched
The precision stated, while Feature Descriptor has independence spatially.
In the alternative embodiment of the present invention, generator 142 calculates each camera phase according to the optical information of more cameras
Can be specifically according to the optical information of more cameras, using light-stream adjustment meter for the relative position of iris spatially
Calculate relative position of each camera relative to iris spatially.
In the definition of light-stream adjustment, it is assumed that there are one the points in 3d space, it is by multiple phases positioned at different location
Machine sees, then light-stream adjustment is to extract the coordinate of 3D points and each camera from these various visual angles information
The process of relative position and optical information.
Further, the spatial depth information of the characteristic point in several iris images mentioned above may include：Space
Location information and colouring information, that is, the Y-axis in spatial position of X axis coordinate, characteristic point that can be characteristic point in spatial position is sat
Mark, characteristic point are in the value in the channels R of the Z axis coordinate of spatial position, the colouring information of characteristic point, the G of the colouring information of characteristic point
The value etc. in the channels Alpha of the colouring information of the value in channel, the value of the channel B of the colouring information of characteristic point, characteristic point.This
Sample contains the spatial positional information and colouring information of characteristic point, the lattice of feature point cloud data in the feature point cloud data of generation
Formula can be as follows：
X1 Y1 Z1 R1 G1 B1 A1
X2 Y2 Z2 R2 G2 B2 A2
……
Xn Yn Zn Rn Gn Bn An
Wherein, X axis coordinate of the Xn expression characteristic points in spatial position；Y axis coordinate of the Yn expression characteristic points in spatial position；
Z axis coordinate of the Zn expression characteristic points in spatial position；Rn indicates the value in the channels R of the colouring information of characteristic point；Gn indicates feature
The value in the channels G of the colouring information of point；Bn indicates the value of the channel B of the colouring information of characteristic point；An indicates the color of characteristic point
The value in the channels Alpha of information.
In the alternative embodiment of the present invention, composer 143 can also be the reference dimension for setting 3D models to be built；
And then according to the spatial positional information of reference dimension and feature point cloud data, determine the sky of each characteristic point in feature point cloud data
Between size, to build iris 3D models.Alternatively, composer 143 can also set the reference dimension of 3D models to be built；Root
According to the spatial positional information of reference dimension and feature point cloud data, the space ruler of each characteristic point in feature point cloud data is determined
It is very little, to build iris 3D models；According to the iris 3D models and time data of structure, the iris 3D with time dimension is generated
Model.
May include the spatial form characteristic for describing 3D models, description 3D models in the iris 3D models of structure
Surface texture feature data, 3D models are described Facing material and the 3D data such as light characteristic, the embodiment of the present invention pair
This is not restricted.
In the alternative embodiment of the present invention, as shown in figure 3, to adapt to acquisition iris feature, it is based on Visible Light Camera square
The iris 3D 4 D data acquisition systems of battle array include：
Support base 31, the lower support structure as entire acquisition system；
Control and display module 33, operation interface and display as acquisition system；
Camera matrix 34, including more cameras, preferably zoom camera, for acquiring iris information, it is preferred that more phases
Machine can be divided into first group of camera and second group of camera, and first group of camera and second group of camera are focused respectively to a left side for acquisition target
Right eye portion, first group of camera and second group of camera acquire several iris images of multiple angles of right and left eyes respectively, and record and adopt
Collect the time data of several iris images.
Certainly, the acquisition action of more zoom camera matrixes can also be taken pictures by separate unit zoom or fixed-focus camera in multi-angle
And realize, but implement that the time is long, difficulty is big, it is unfavorable for forming Quick Acquisition image and then forms 3D models.
Band-like light compensating lamp 36 is used for the supplement of ambient light, preferably arc；
Bearing structure 35, camera, locating module, control and display module and light compensating lamp are fixed on by bindiny mechanism
In bearing structure 35, bearing structure 35 is preferably arc；
Platform 37 is communicated to connect with control and display module 33, and platform 37 can lift, and human body is taken pictures (i.e. for fixation
Acquisition target) position and adjust human height, so that iris and camera matrix 34 is kept suitable acquisition position and distance.This reality
It applies in example, platform 37 is height-adjustable tablet, is stood above for people, it is preferred that platform 37 can also be that other are any
Suitable for the fixed device taken pictures position of human body and adjust human height, such as seat etc..
Preferably, including locating module 32 mesh of Quick Acquisition can also be realized for being positioned to acquisition target
's；
Support base 31 is connected by connection structure with platform 37；
Support base 31 is connected by connection structure with bearing structure 35, and bearing structure 35 is used to support.
The internal module composition of bearing structure 35 is as follows.
A. as shown in figure 4, the internal module of bearing structure 35 can be made of following several parts：
Power management module 41 is responsible for providing the required various power supplys of whole system；
Light management module 42 can adjust the lamplight brightness of band-like light compensating lamp 36 by central processing module 44；
Serial ports integration module 43 is responsible for the both-way communication of central processing module 44 and camera matrix 34；
Central processing module 44 is responsible for system information processing, display, the control of light, platform；
Lifting platform management module 45 is responsible for the height adjustment of platform 37；
It shows driven management module 46, is responsible for the display driving of display 332.
B. the connection relation of the internal module of bearing structure 35 and outside is as follows：
1) power management module 41 is to camera matrix 34, serial ports integration module 43, light management module 42, central processing mould
Block 44, display driven management module 46, lifting platform management module 45 provide power supply；
2) serial ports integration module 43 connects camera matrix 34 and central processing module 44, realizes the two-way between them
News, as shown in Figure 5；
2.1) camera is connected in a manner of serial ports with serial ports integration module in a manner of independent part
2.2) serial ports integration module is connected by USB interface with central processing module
2.3) central processing module realizes the visualized operation 2.4 with camera matrix by the software interface of customized development)
May be implemented to take pictures to camera in operation interface the setting of parameter
Sensitivity ISO (range 50~6400)
Shutter speed (1/4000~1/2) (second)
Zoom magnification (1~3.8x)
Aperture (big/small)
2.5) initialization operation being switched on to camera may be implemented in operation interface
2.6) order of camera image acquisition may be implemented in operation interface
2.7) setting in camera image storage path may be implemented in operation interface
2.8) browsing of camera real-time imaging and the switching of camera may be implemented in operation interface
3) light management module 42 connects the band-like light compensating lamp of power management module 41, central processing module 44 and outside
36；
4) lifting platform management module 45 connects power management module 41, central processing module 44 and platform 37, center
Processing module 44 realizes the up and down adjustment to 37 height of platform by visualization interface；
5) display driven management module 46 connects the display of power management module 41, central processing module 44 and outside
332；
6) central processing module 44 connect power management module 41, light management module 42, lifting platform management module 45,
Serial ports integration module 43, display driven management module 46.
(1-3) equipment application method is as follows
A. starting device：After turning on the power switch, central processing unit, camera matrix, band-like light compensating lamp is respectively started.
B. parameter setting：By display interfaces, the parameters that camera matrix is taken pictures can be set.
C. information collection：After parameter setting, starts matrix camera and start to carry out information collection, information collection to iris
Time completes in 0.8 second, and the signal of acquisition is finally reached with the format of digital picture (.jpg) at central processing module
Reason, central processing module core are made of following components：
C.1CPU (Central Processing Unit, central processing unit)：It is responsible for the transmission tune of entire digital signal
Degree, task distribution, the single calculation processing of memory management and part；
C.2GPU (Graphics Processing Unit, image processing unit)：The GPU for selecting special type, has
Outstanding image-capable and efficient computing capability；
C.3DRAM (Dynamic Random Access Memory, i.e. dynamic random access memory)：As entire number
The temporary storage center of word signal processing needs the operational capability for matching CPU and GPU, obtains best processing and calculates efficiency.
D. information processing：The signal that matrix camera has acquired is transmitted to central processing module and carries out signal processing.
D.1 the process of information processing is as follows
D.1.1 the filtering of image is acquired
Using the characteristic of GPU, in conjunction with the characteristic of matrix operation of image filtering, image filtering can be in certain algorithm
Under support, it is rapidly completed.
D.1.2 the feature point extraction of image is acquired
The GPU to match using CPU and with overall performance, because the format of the various information of this equipment is all image pane
The various information contents of jpg can be evenly distributed to GPU's by formula in conjunction with the GPU with outstanding image-capable
In block, since this equipment has 56 block using double GPU, every GPU itself, so 18 that acquisition information scratching arrives
The image of jpg can be evenly distributed to carry out operation above 112 block, and combine centralized dispatching and the distribution function of CPU,
The characteristic point that every photo has can be rapidly calculated, is arranged in pairs or groups other common models relative to independent CPU or CPU
The operation of GPU, whole arithmetic speed time are the 1/10 or shorter of the latter
D.1.3 the calculating of the matching and spatial depth information of acquisition image
The extraction of image characteristic point uses pyramidal hierarchical structure and the particular algorithm of space scale invariance, this
Two kinds of special algorithms are all the special tectonics of the GPU in conjunction with this equipment choosing, play the calculated performance of system to the greatest extent,
Realize the characteristic point in rapid extraction image information.
The Feature Descriptor of this process has 128 feature descriptions using SIFT feature description, SIFT feature description
Vector can describe the feature of 128 aspects of any characteristic point on direction and scale, significantly improve the essence to feature description
Degree, while Feature Descriptor has independence spatially.
The particular image that this equipment uses handles GPU, the calculating with excellent independent vector and processing capacity, for adopting
For SIFT feature vector with 128 special description, it is to be most suitable for only to be handled under conditions of special GPU in this way
, the specific calculations ability of the GPU can be given full play to, compares and is arranged in pairs or groups other common specifications using common CP U or CPU
The match time of GPU, characteristic point can reduce by 70%.
Feature Points Matching finishes, and system can use the algorithm of light-stream adjustment calculate camera relative to iris spatially
Relative position, according to the space coordinate of this relative position, GPU can rapidly calculate the depth information of iris feature point.
D.1.4 the generation of feature point cloud data
According to D.1.3 calculating depth information of the iris feature point in space, due to the vectorial computing capability that GPU has,
Spatial position and the colouring information of iris feature point cloud can be rapidly matched, the model foundation needs of a standard are formed
Point cloud information.
E. characteristic size is demarcated：By the standard of characteristic point cloud size, initial reference is set for the size of entire model
Size.
By the special calibration in information collection, which there is space to determine size, due to iris feature point
Cloud has spatially consistency of scale, is sized really by the special calibration, the size between any characteristic point of iris can
To be calculated from the spatial position coordinate of cloud.
F. the subsequent processing of data：It can by the way that point cloud data is further processed based on the size demarcated in E
To obtain the 3D data of iris.
The format of 3D data has following several files：
.obj --- the spatial form feature of description 3D models
.jpg --- the surface texture feature of description 3D models
.mtl --- the Facing material and light feature of description 3D models
G. iris 3D data are shown over the display by visualization method.Alternatively, the iris 3D with time dimension
Model may be displayed on by visualization method on display.
The embodiment of the present invention additionally provides a kind of iris 3D 4 D data acquisition methods based on Visible Light Camera matrix, packet
Include following steps：
Step S102 obtains several iris images by more cameras；
Several iris images that more cameras obtain are transmitted to central processor equipment and are handled and counted by step S104
It calculates, generates the iris 3D 4 D datas of acquisition target；
In step S102, more cameras can be divided into first group of camera and second group of camera, first group of camera and second group
Camera is focused respectively to the left and right eye of acquisition target, and first group of camera and second group of camera acquire multiple angles of right and left eyes respectively
Several iris images of degree, and record the time data for acquiring several iris images.Acquisition pair is obtained by using more cameras
As several iris images of left and right eye, relative to traditional single iris image using acquired in fixed-focus camera
The time of imaging focusing is shorter, and image quality more preferably, it is more efficient.
An embodiment of the present invention provides a kind of iris 3D 4 D data acquisition methods based on Visible Light Camera matrix, the party
Method is acquired iris feature information using more cameras, obtains several iris images, and several iris images are transmitted to
Data processing unit；Data processing unit handles several iris images.It can be seen that the embodiment of the present invention uses more
Camera control technology carries out the acquisition of iris feature information, can significantly improve the collecting efficiency of iris feature information.
In the above-described embodiments, when the complete iris image (i.e. several iris images) for getting acquisition target
Afterwards, then iris image can be handled and is calculated by central processor equipment, generate iris image acquisition target
Iris 3D data.Preferably, central processor equipment is handled and is calculated to iris image, is generated iris image and is adopted
The iris 3D data of collection object can further comprise：
Step S1, central processor equipment are automatic exposure, automatic white balance, automatic right to iris image optimization processing
Burnt and/or image deformity correction；
Iris image after optimization processing is inputted registration Algorithm model by step S2, carries out being registrated to be calculated matching
Quasi- data generate the iris 3D data of iris image acquisition target based on above-mentioned registration data.
In the above-described embodiments, by camera acquisition iris image by automatic white balance, automatic exposure and/or from
After the processing of dynamic focusing, better picture color and clarity can be obtained, it, can also be to figure since there may be distortion for camera lens
The carry out distortion correction of picture, effectively to promote image quality.
When 3D is rebuild, can iris image input registration Algorithm model first be obtained into registration data, then based on registration
Data generate iris 3D data.In a preferred embodiment, step S2 can also include：
Iris image is inputted the registration Algorithm model built based on SIFT algorithms, is calculated and matches by step S2-1
Quasi- data；
Registration data is inputted 3D Data Synthesis models, generates iris 3D data by step S2-2.
Fig. 6 shows the flow chart of iris 3D data creation methods according to the preferred embodiment of the invention.As shown in fig. 6,
This method may include：
After obtained different angle, multigroup iris image, iris image is handled, it is such as automatic to expose
Light (AE, Automatic Exposure), automatic white balance (AWB, Automatic white balance), auto-focusing
(AF, Auto Focus) and image deformity correction；
Extracting and matching feature points and foundation point cloud information；Trigonometric ratio matching relationship is utilized to establish characteristic point three-dimensional
Coordinate generates the spatial information of point cloud；
Resurfacing and texture mapping；Finally surface is filled to form three-dimensional planar, increases texture letter on the surface
Breath utilizes the high-resolution of zoom camera forthright, fine definition obtains surface clearly texture, final to obtain iris 3D data.
For traditional images processing method, the light source for not being directed to varying environment carries out blank level adjustment, is easy
Color of image is caused to be distorted, brightness is also unable to reach real ambient brightness.And the method provided through the embodiment of the present invention can
It is effectively ensured the color of image, and can more effectively solve to ask the clarity of the focus of iris is not high based on zoom camera
Topic.
SIFT (Scale-invariant feature transform, scale invariant feature conversion) algorithm is a kind of electricity
The algorithm of brain vision is used for detecting and describing the locality characteristic in image, it finds extreme point in space scale, and extracts
Go out its position, scale, rotational invariants.
SIFT algorithms find the changeability of scale space using the method for multiscale analysis, and to the color of image, texture is several
What shape translates, and rotation, view transformation, luminance transformation has stronger adaptability.Fig. 7 shows according to the ... of the embodiment of the present invention
The flow diagram of Feature Points Extraction, as shown in fig. 7, Feature Points Extraction according to the ... of the embodiment of the present invention includes：
Central processor equipment receives iris image, after gaussian filtering, generates scale space information；Seek extreme value simultaneously
Filter low contrast point and filtering low edge point；The confirmation in characteristic point direction carries out feature point description.
Method provided in this embodiment is exactly EMD (Empirical Mode Decomposition, empirical modal point
Solution) distance is used in SIFT feature and matching, and the similarity method that is used in SIFT feature is Euclidean distance, but Euclidean distance
It will appear a large amount of error hidings, through overtesting, EMD matching process can obtain better in the case where match point quantity is reduced
With precision, the requirement of a large amount of match points can be suitble to, in turn ensure the precision of reconstruction, so SIFT algorithms are most stable, have with
Lower feature：1) local feature of image has rotation, scale to burst forth, the constant feature such as brightness, to visual angle change, affine transformation,
Noise has stability 2) there is the vector of 128 dimensions to contain abundant information, it is suitble to quick, accurately matching, 3) volume, even if single
The a large amount of SIFT features of piece of changing the line map generation, 4) high speed, it carries out SIFT optimizations and real time algorithm is reached using suitable matching strategy
Requirement.
Traditional Feature Points Extraction mostly uses Harris, KLT, and SUSAN algorithms are mainly carried with scale invariant feature point
It takes.Based on method provided in this embodiment 5 times of efficiency can be promoted compared to traditional feature point extraction and matched processing method.And
And in conjunction with EMD (empirical mode decomposition, full name Empirical Mode Decomposition) matching process in match point quantity
In the case of reduction, better matching precision can be obtained, the requirement of a large amount of match points can be suitble to, in turn ensures the essence of reconstruction
Degree.
Further, the preferred embodiment of the present invention also matching based on triangulation methodology and Gaussian filter combination 3D data
Quasi- fusion method carries out 3D reconstructions to iris image, to further increase precision and efficiency.
Conventional method uses basic gray scale, transform domain, the method for registering of essential characteristic, main method flow：To two width or
Multiple image carries out feature extraction, obtains the characteristic point of image, then finds matching by carrying out similarity measurement to characteristic point
Characteristic point pair；Then by matched characteristic point to the coordinate conversion parameter between obtaining a few width images；Finally complete image
Matching, method for registering of this method for registering images based on half-tone information, method for registering and feature based based on transform domain
Method for registering etc..Major defect is as follows：1) when iris image characteristic point unobvious and low resolution ratio, it is difficult to be carried from image
Take characteristic point；2) when scene is close, the coordinate correspondence relationship of two images is not linear, is had using nonlinear transformation very big
Limitation.
Method for registering provided in this embodiment utilizes space geometry coordinate transformation relation, the triangulation based on solid geometry
The converter technique of method carries out inverse transformation according to structure light depth image, finds the coordinate conversion relation of two images corresponding points,
Picture noise is reduced by Gaussian filter, is conducive to image characteristics extraction, solves the extraction of traditional characteristic point.
It should be noted that in practical application, combination may be used in above-mentioned all optional embodiments arbitrary group of mode
It closes, forms the alternative embodiment of the present invention, this is no longer going to repeat them.
According to the combination of any one above-mentioned alternative embodiment or multiple alternative embodiments, the embodiment of the present invention can reach
Following advantageous effect：
The iris 3D 4 D datas acquisition system and side that an embodiment of the present invention provides a kind of based on Visible Light Camera matrix
Method, the system include support construction, and arc bearing structure on the support structure, the shape being arranged in arc bearing structure is arranged
At more cameras of camera matrix, and the data processing unit that is connect with more cameras；More cameras are used for iris feature
Information is acquired, and obtains several iris images, and several iris images are transmitted to data processing unit；Data processing unit
For handling several iris images.It can be seen that the embodiment of the present invention carries out iris using more camera control technologies
The acquisition of characteristic information can significantly improve the collecting efficiency of iris feature information.
Also, the embodiment of the present invention completely restores iris using the characteristic information of iris feature spatially is collected
The various features of feature spatially provide unlimited possibility for the application of subsequent iris characteristic data.
Further, parallel computation of the embodiment of the present invention based on central processing unit and graphics processor, can be rapidly and efficiently
It realizes the processing of characteristic information and puts the generation of cloud in ground.Also, using scale invariant feature conversion SIFT feature description son knot
The computation capability for closing special graph processor, can fast implement the generation of the matching and space characteristics point cloud of characteristic point.
In addition, using unique sizing calibration method, the bulk of any characteristic point of iris feature can be quickly and accurately extracted, it is raw
At the 3D models of iris feature, to realize the acquisition of 3D data.In addition, the embodiment of the present invention uses unique sizing calibration side
Method can quickly and accurately extract the bulk of any characteristic point of iris feature, generate the iris feature with time dimension
3D models, to realize the acquisition of 4 D data.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention
Example can be put into practice without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of each inventive aspect,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：It is i.e. required to protect
Shield the present invention claims the more features of feature than being expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific implementation mode are expressly incorporated in the specific implementation mode, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment
Change and they are arranged in the one or more equipment different from the embodiment.It can be the module or list in embodiment
Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it may be used any
Combination is disclosed to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so to appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit requires, abstract and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment claimed it is one of arbitrary
It mode can use in any combination.
The all parts embodiment of the present invention can be with hardware realization, or to run on one or more processors
Software module realize, or realized with combination thereof.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) realize the rainbow according to the ... of the embodiment of the present invention based on Visible Light Camera matrix
The some or all functions of some or all components in film 3D 4 D datas acquisition system and method.The present invention can be with
Some or all equipment or program of device for executing method as described herein are embodied as (for example, computer
Program and computer program product).It is such to realize that the program of the present invention may be stored on the computer-readable medium, Huo Zheke
In the form of with one or more signal.Such signal can be downloaded from internet website and be obtained, or in carrier
It provides on signal, or provides in any other forms.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference mark between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be by the same hardware branch
To embody.The use of word first, second, and third does not indicate that any sequence.These words can be explained and be run after fame
Claim.
So far, although those skilled in the art will appreciate that present invention has been shown and described in detail herein multiple shows
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or derive many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers other all these variations or modifications.
Claims (10)
1. a kind of iris 3D 4 D data acquisition systems based on Visible Light Camera matrix, which is characterized in that including：Support knot
Structure, the arc bearing structure being arranged in the support construction, the formation camera matrix being arranged in the arc bearing structure
More cameras, and the data processing unit that is connect with the more cameras；
The more cameras obtain several iris images, and will several described iris images for being acquired to iris information
It is transmitted to the data processing unit；
The data processing unit, for handling several described iris images.
2. system according to claim 1, which is characterized in that the data processing unit specifically includes：
Extractor, for extracting respective characteristic point in several described iris images；
Generator, for based on respective characteristic point in several iris images described in extraction, generating the characteristic point cloud number of iris
According to；
Composer, the 3D models for building iris according to the feature point cloud data, to realize the acquisition of iris 3D data.
3. system according to claim 2, which is characterized in that the more cameras are additionally operable to：Record acquisition iris information
Time data, and be transmitted to the data processing unit；
The composer in the data processing unit is additionally operable to：
According to the feature point cloud data and the time data, the iris 3D models with time dimension are built, to realize rainbow
The acquisition of film 3D 4 D datas.
4. system according to claim 2 or 3, which is characterized in that the generator is additionally operable to：
According to the feature of respective characteristic point in several iris images described in extraction, the matching of characteristic point is carried out, establishes matching
Characteristic point data collection；
According to the optical information of more cameras, relative position of each camera relative to iris spatially is calculated, and according to institute
State the spatial depth information for the characteristic point that relative position calculates in several described iris images；
According to the spatial depth information of matched characteristic point data collection and characteristic point, the feature point cloud data of iris is generated.
5. system according to claim 4, which is characterized in that the feature of respective characteristic point in several described iris images
Son is described using scale invariant feature conversion SIFT feature to describe.
6. system according to claim 4, which is characterized in that the generator is additionally operable to：
According to the optical information of more cameras, each camera is calculated relative to iris spatially opposite using light-stream adjustment
Position.
7. system according to claim 4, which is characterized in that the spatial depth of the characteristic point in several described iris images
Information includes：Spatial positional information and colouring information.
8. system according to claim 7, which is characterized in that the composer is additionally operable to：
Set the reference dimension of 3D models to be built；According to the spatial position of the reference dimension and the feature point cloud data
Information determines the bulk of each characteristic point in the feature point cloud data, to build iris 3D models；Or
Set the reference dimension of 3D models to be built；According to the spatial position of the reference dimension and the feature point cloud data
Information determines the bulk of each characteristic point in the feature point cloud data, to build iris 3D models；According to structure
Iris 3D models and the time data generate the iris 3D models with time dimension.
9. a kind of iris 3D 4 D data acquisition methods based on Visible Light Camera matrix, including：
Several iris images are obtained by more cameras, and several described iris images are transmitted at central processor equipment
Reason and calculating, generate the iris 3D 4 D datas of acquisition target；Wherein,
The more cameras include first group of camera and second group of camera；First group of camera and second group of camera are focused respectively
To acquisition target left and right eye and acquire several iris images of multiple angles, and record the time for acquiring several iris images
Data.
10. according to the method described in claim 9, wherein, several described iris images being transmitted to central processor equipment and are carried out
Processing and calculating include：
Respective characteristic point in several described iris images of extraction；
Based on respective characteristic point in several iris images described in extraction, according to respective in several iris images described in extraction
Characteristic point feature, carry out the matching of characteristic point, establish matched characteristic point data collection；
According to the optical information of more cameras, relative position of each camera relative to iris spatially is calculated, and according to institute
State the spatial depth information for the characteristic point that relative position calculates in several described iris images；
According to the spatial depth information of matched characteristic point data collection and characteristic point, the feature point cloud data of iris is generated；
Iris 3D models are built according to the feature point cloud data, to realize the acquisition of iris 3D data；Or according to the spy
Point cloud data and the time data are levied, the iris 3D models with time dimension are built, to realize iris 3D 4 D datas
Acquisition；
Preferably, by several described iris images be transmitted to central processor equipment handled and calculated including：
To several described iris image optimization processings, including automatic exposure, automatic white balance, auto-focusing and/or image deformity
Correction；
Several described iris images are inputted into registration Algorithm model, registration is carried out and registration data is calculated, be based on the registration
Data generate the iris 3D data of the acquisition target；
Preferably, several described iris images are inputted into registration Algorithm model, carries out registration and registration data is calculated, is based on institute
The iris 3D data that registration data generates the acquisition target are stated, including：
Several described iris images are inputted to the registration Algorithm model built based on SIFT algorithms, registration data is calculated；
The registration data is inputted into 3D Data Synthesis models, generates iris 3D data.
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