CN105574525B - A kind of complex scene multi-modal biological characteristic image acquiring method and its device - Google Patents

A kind of complex scene multi-modal biological characteristic image acquiring method and its device Download PDF

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CN105574525B
CN105574525B CN201510967025.3A CN201510967025A CN105574525B CN 105574525 B CN105574525 B CN 105574525B CN 201510967025 A CN201510967025 A CN 201510967025A CN 105574525 B CN105574525 B CN 105574525B
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photographed scene
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CN105574525A (en
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孙哲南
侯广琦
谭铁牛
秦娅楠
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Tianjin Zhongke Hongxing Technology Co ltd
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Tianjin Zhongke Rainbow Star Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
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Abstract

The invention discloses a kind of complex scene multi-modal biological characteristic image acquiring devices, it include: the polynary imaging unit of active, logic control platform, parallel data computing platform, wherein, logic control platform, it is connected with actively polynary imaging unit, parallel data computing platform is connected with logic control platform, and parallel data computing platform specifically includes multi-sensor data processing system, biological characteristic scene perception and modeling, multi-modal biological characteristic actively perceive system and advanced imaging algorithm processing system.In addition, the invention also discloses a kind of complex scene multi-modal biological characteristic image acquiring methods.A kind of complex scene multi-modal biological characteristic image acquiring method and its device disclosed by the invention, it can be to the biological characteristic progress multimodal recognition of multiple users under the conditions of real complex scene, the identification demand for meeting multi-user in complicated image scene is realized and is effectively obtained to a wide range of interior iris, face, gait multi-modal biological characteristic.

Description

A kind of complex scene multi-modal biological characteristic image acquiring method and its device
Technical field
The present invention relates to the technical fields such as optics, computer vision and pattern-recognition, more particularly to a kind of complex scene Multi-modal biological characteristic image acquiring method and its device.
Background technique
Currently, with the continuous development of human sciences' technology, biometrics identification technology is widely used.Biology Feature identification refers to computer by obtaining and the physiology and behavioural characteristic of analysis human body, realize science that automatic identity identifies and Technology.Common biological characteristic mode includes fingerprint, iris, face, palmmprint, hand shape, vein, person's handwriting, gait, voice etc..People The biological information of body multiple modalities is distributed mainly on facial (face, iris) and hand (fingerprint, palmmprint, hand shape, vein). Compared to hand biological characteristic, the face and iris feature of human body face have can apparently show, abundant information, acquisition it is non-contacting solely Special advantage has irreplaceable important function in medium and long distance identification and intelligent video monitoring application scenarios, thus obtains International academic community, industrial circle or even the highest attention of government department are arrived.In addition, gait biological characteristic has can feel at a distance Know, information is unique and easy to secret capture, non-infringements property is high, is difficult to hide and the advantages that camouflage, also gradually by some research aircrafts The attention of structure.
Bio-identification subject and technical field pass through the development of many years, substantially can be correct under conditions of carefully controlled The user of identification height cooperation, still, in digitlization biological information acquisition process, if the physiology by inherent user (such as illumination is blocked, distance for variation for variation (such as blink, strabismus, posture, expression, movement) and external environment (scene where i.e.) Deng) influence, the performance of bio-identification will sharply decline, be unable to satisfy under complex scene environment to the need of the identification of user It asks, therefore seriously constrains subject progress, Technique Popularizing and the industry development of bio-identification.
Currently, iris and face recognition technology are developed rapidly, and are imaged compared to iris and face, and gait biology is special Sign is easier to perceive at a distance, generally can carry out data acquisition using camera ready-made in the market.Since gait biology is special Sign influenced by imaging device visual angle it is very big, how to be laid out multiple-camera carry out multi-angle of view acquisition, Gait Recognition will be directly affected Precision.
In addition, multi-modal biological characteristic identification target user's range, accuracy of identification and in terms of compare single mode The biological identification technology of state has unique advantage, therefore the research of multimodal Biometrics device is also the overdevelopment of recent years Point.
But existing multi-modal biological characteristic obtains equipment and is mainly directed towards controlled environment, range to imageable target and Posture and image scene environmental condition all have more stringent limitation, meanwhile, existing multi-modal biological characteristic imaging is set The standby information that can only once obtain a people, can not acquire the multi-modal biological characteristic of multiple targets simultaneously, be unable to satisfy complexity The identification demand of user in image scene.Currently, the convenient and efficient of high quality, multi-modal biological characteristic data obtains As the significant bottleneck that bio-identification subject and technical application are expanded and crossed over from controlled condition to complicated actual environment, serious shadow Ring accuracy, robustness, the real-time even safety of living things feature recognition.
Therefore, there is an urgent need to develop a kind of technologies out at present, can be to real complex scene condition (as outdoor is a wide range of And background is complicated, ambient lighting variation, target group are more and situations such as there is movement, attitudes vibration and mutually block) under it is multiple The biological characteristic of user carries out multimodal recognition, meets the identification demand of multi-user in complicated image scene, realizes to big Iris, face, gait multi-modal biological characteristic in range are effectively obtained.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of complex scene multi-modal biological characteristic image acquiring method and its Device, can be to real complex scene condition (as outdoor a wide range of and background is complicated, ambient lighting changes, target group is more And there is movement, attitudes vibration and situations such as mutually block) under the biological characteristic of multiple users carry out multimodal recognition, meet multiple The identification demand of multi-user in miscellaneous image scene is realized to a wide range of interior iris, face, gait multi-modal biological characteristic It is effectively obtained, further increases the accuracy of identification, realize that remote, high-resolution, high speed multi-modal biological characteristic is known Not, the product use feeling for being conducive to improve user, is of great practical significance.
For this purpose, the present invention provides a kind of complex scene multi-modal biological characteristic image acquiring methods, comprising steps of
Step 1: the default photographed scene for needing to shoot to user provides multispectral compensation illumination;
Step 2: the multiplex images of the acquisition default photographed scene, wherein the multiplex images of the default photographed scene The infrared figure of iris and facial image, scene high-definition picture, scene high-dynamics image, multiple users including multiple users Picture and the depth image of multiple users;Step 3: the multiplex images to the default photographed scene carry out preset data processing Operation, obtains the multiplex images data of initialization;
Step 4: carrying out Sensing model according to the multiplex images data of the initialization to the default photographed scene, obtaining The corresponding real structure model of place of the default photographed scene is obtained, and detection obtains presetting in the default photographed scene Biological information;
Step 5: it is pre- to judge whether modeling information that the real structure model of place of the default photographed scene has meets If whether the default biological information in modeling information condition and the default photographed scene meets default biological characteristic item Part, when the modeling information that the real structure model of place of the default photographed scene has meets default modeling information condition, together When the default biological information that Shi Suoshu presets in photographed scene meets default biological characteristic condition, according to the default shooting The default biological characteristic in modeling information and the default photographed scene that the corresponding real structure model of place of scene has Information executes default image forming process operation, obtains final multi-modal biological characteristic image and shown.
Wherein, in the first step, by from the multispectral light source module that multiple multispectral light sources form to described pre- If photographed scene provides multispectral compensation illumination.
Wherein, in the second step, by forming optical field imaging module by multiple optical field imaging sensors to acquire State the iris and facial image of multiple users in default photographed scene;
The default photographed scene is acquired by the high-resolution imaging module being made of multiple array image sensors High-definition picture;
The default photographed scene is acquired by the high dynamic image-forming module being made of multiple Highly-dynamic image sensors Scene high-dynamics image;
It is acquired by the infrared imaging module being made of multiple infrared image sensors multiple in the default photographed scene The infrared image of user;
Multiple users in the default photographed scene are acquired by the Depth Imaging module being made of multiple depth cameras Depth image.
Wherein, the depth camera is time-of-flight method TOF camera.
In addition, the present invention also provides a kind of complex scene multi-modal biological characteristic image acquiring devices, comprising:
Actively polynary imaging unit, the default photographed scene for needing to shoot to user provide multispectral compensation and shine It is bright, and the multiplex images of the acquisition default photographed scene, wherein the multiplex images of the default photographed scene include multiple The iris and facial image of user, scene high-definition picture, scene high-dynamics image, the infrared image of multiple users and more Then the multiplex images are sent to logic control platform by the depth image of a user;
Logic control platform is connected with actively polynary imaging unit, and the image acquisition for being inputted according to user starts Perhaps the starting or out of service of the polynary imaging unit of the corresponding control active of halt instruction, and it is actively polynary receiving After the multiplex images for the default photographed scene that imaging unit is sent, it is transmitted to parallel data computing platform in real time, and sentence Whether the modeling information that has of real structure model of place of the default photographed scene of breaking meets default modeling information condition, with And whether the default biological information in the default photographed scene meets default biological characteristic condition, when the default shooting The modeling information that the real structure model of place of scene has meets in default modeling information condition and the default photographed scene Default biological information when meeting default biological characteristic condition, send the corresponding real structure field of the default photographed scene The default biological information in modeling information and the default photographed scene that scape model has calculates flat to parallel data Advanced imaging algorithm processing system in platform;
Parallel data computing platform specifically includes multi-sensor data processing system, biological characteristic scene perception and modeling System, multi-modal biological characteristic actively perceive system and advanced imaging algorithm processing system;Wherein:
Multi-sensor data processing system is connected with logic control platform, for the more of the default photographed scene First image carries out preset data processing operation, obtains the multiplex images data of initialization;
Biological characteristic scene perception and modeling, respectively with multi-sensor data processing system and logic control platform phase Connection carries out Sensing model to the default photographed scene, described in acquisition for the multiplex images data according to the initialization The default corresponding real structure model of place of photographed scene, and it is sent to logic control platform;
Multi-modal biological characteristic actively perceive system, respectively with multi-sensor data processing system and logic control platform phase Connection for detecting the default biological information obtained in the default photographed scene, and is sent to logic control platform;
Advanced imaging algorithm processing system, is connected with logic control platform, for according to the default photographed scene pair The default biological information in modeling information and the default photographed scene that the real structure model of place answered has, holds The default image forming process operation of row, obtains final multi-modal biological characteristic image and is shown.
Wherein, the polynary imaging unit of the active includes multispectral light source module, optical field imaging module, high-resolution imaging Module, high dynamic image-forming module, infrared imaging module and Depth Imaging module;
It is the multispectral light source module, optical field imaging module, high-resolution imaging module, high dynamic image-forming module, infrared Image-forming module and Depth Imaging module are connected with the logic control platform respectively.
Wherein, including crust of the device, the front center position of described device shell are provided with main imaging lens;
It is provided with infrared imaging camera lens on the left of the main imaging lens, is provided with depth on the right side of the main imaging lens Imaging lens;
The positive surrounding of described device shell is respectively uniformly distributed there are four optical field imaging lens group;
There are multiple multispectral light around the optical field imaging lens group, infrared imaging camera lens and Depth Imaging camera lens respectively Source.
Wherein, the logic control platform includes on-site programmable gate array FPGA and Chip Microcomputer A RM logic control chip, Wherein:
The image that on-site programmable gate array FPGA is used to be inputted according to user obtains beginning or halt instruction, to actively Multispectral light source module, optical field imaging module, high-resolution imaging module, high dynamic image-forming module in polynary imaging unit, Infrared imaging module and Depth Imaging module carry out drive control, realize corresponding control actively the starting of polynary imaging unit or Person is out of service and control parameter adjusts and the transmission buffer of data;Chip Microcomputer A RM logic control chip is for being responsible for logic Data dispatch cooperation between control platform and parallel data computing platform.
By the above technical solution provided by the invention as it can be seen that compared with prior art, the present invention provides a kind of complexity Scene multi-modal biological characteristic image acquiring method and its device, can be to real complex scene condition (as outdoor is a wide range of And background is complicated, ambient lighting variation, target group are more and situations such as there is movement, attitudes vibration and mutually block) under it is multiple The biological characteristic of user carries out multimodal recognition, meets the identification demand of multi-user in complicated image scene, realizes to big Iris, face, gait multi-modal biological characteristic in range are effectively obtained, and the accuracy of identification is further increased, and are realized At a distance, the multi-modal biological characteristic identification of high-resolution, high speed, is conducive to the product use feeling for improving user, has great Production practices meaning.
Detailed description of the invention
Fig. 1 is a kind of flow chart of complex scene multi-modal biological characteristic image acquiring method provided by the invention;
Fig. 2 is a kind of structural schematic diagram of complex scene multi-modal biological characteristic image acquiring device provided by the invention;
Fig. 3 is a kind of structure distribution forward sight of complex scene multi-modal biological characteristic image acquiring device provided by the invention Schematic diagram;
Fig. 4 is a kind of light channel structure signal of complex scene multi-modal biological characteristic image acquiring device provided by the invention Figure;
Fig. 5 is a kind of application scenarios signal of complex scene multi-modal biological characteristic image acquiring device provided by the invention Figure.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawing with embodiment to this Invention is described in further detail.
Fig. 1 is a kind of flow chart of complex scene multi-modal biological characteristic image acquiring method provided by the invention;
Referring to Fig. 1, a kind of complex scene multi-modal biological characteristic image acquiring method provided by the invention, including following step It is rapid:
Step S101: the default photographed scene for needing to shoot to user provides multispectral compensation illumination;
In the present invention, in step s101, user needs the default photographed scene shot to preset according to the needs of users It is configured, can be any one scene of user's selection, such as hall doorway scene.
It in the present invention, in step s101, can be by the mostly light that is made of multiple multispectral light sources in specific implementation Compose light source module and provide multispectral compensation to default photographed scene and illuminate, it is therefore intended that meet the high quality of round-the-clock scene at As demand.
Step S102: the multiplex images of the acquisition default photographed scene, wherein the polynary figure of the default photographed scene As include multiple users iris and facial image, scene high-definition picture, scene high-dynamics image, multiple users it is infrared Image and the depth image (obtaining the depth information of user, such as three-dimensional feature information) of multiple users;
It in the present invention, in step s 102, can be by forming light by multiple optical field imaging sensors in specific implementation Image-forming module acquires the iris and facial image of multiple users in the default photographed scene;
In step s 102, in specific implementation, can by the high-resolution that is made of multiple array image sensors at As module acquires the scene high-definition picture of the default photographed scene;
In the present invention, it should be noted that in specific implementation, resolution that the scene high-definition picture specifically has Rate size is acquired after being configured according to the needs of users to high-resolution imaging module and is obtained, for example, can be with 1280* 800 pixels can also be the image of the high-resolution of other users setting certainly.
In step s 102, in specific implementation, can by the high dynamic that is made of multiple Highly-dynamic image sensors at As module acquires the scene high-dynamics image of the default photographed scene;
In the present invention, it should be noted that in specific implementation, resolution ratio that the scene high-dynamics image specifically has Size is acquired after being configured according to the needs of users to high dynamic image-forming module and is obtained, for example, can be with 1280*720 picture The dynamic image of element can also be the dynamic image of the high-resolution of other users setting certainly.
It in step s 102, can be by the infrared imaging mould that is made of multiple infrared image sensors in specific implementation Block acquires the infrared image of multiple users in the default photographed scene;
In step s 102, it in specific implementation, can be adopted by the Depth Imaging module being made of multiple depth cameras Collect the depth image of multiple users in the default photographed scene, the depth camera preferably selects the TOF (flight time Method) video camera.
Step S103: preset data processing operation is carried out to the multiplex images of the default photographed scene, is initialized Multiplex images data;
In step s 103, the preset data processing operation carried out to multiplex images includes: to carry out to multiplex images Data prediction, coding and fusion, wherein pretreatment includes that image goes hot-tempered, normalization, the calibration of light field image and removes vignetting Deng;Coding is to carry out data encoding to multiplex images using compressive sensing theory, reduces the data redundancy of more images, improves system System performance;Fusion is will to obtain polynary image at each image-forming module to have complementary advantages, and the figure of multiple characteristic is provided in fusion Picture.For the present invention, the redundancy of image is removed, the quality of image is higher and is conducive to further handle analysis.
Step S104: according to the multiplex images data of the initialization, carrying out Sensing model to the default photographed scene, It obtains pre- in the corresponding real structure model of place of the default photographed scene, and the detection acquisition default photographed scene If biological information (such as iris feature, face characteristic and gait feature information);
For the present invention, it should be noted that multiplex images data are under the conditions of obvious to all the period of time, illumination variation Complex scene is perceived, and the real structure model of place for covering time, illumination is finally inversed by, and is carried out background using depth data and is built Mould carries out completing scene three-dimensional modeling using shape and texture, to reduce the variable factors such as illumination under complex scene, weather to life The adverse effect of object characteristic imaging.
For the present invention, it should be noted that multiplex images data are used to detect the default biological information in scene, It in specific implementation, is examined using target positioning unit, the region of interest characteristic of field in multi-modal biological characteristic actively perceive system Extraction unit, multi-modal biological characteristic integrated unit and multi-modal biological characteristic quality evaluation unit are surveyed, multi-modal biology is passed through Feature detection, feature extraction, fusion and quality evaluation technology obtain multiple target face, iris and gait biological information.
Step S105: whether the modeling information for judging that the real structure model of place of the default photographed scene has meets Whether the default biological information in default modeling information condition and the default photographed scene meets default biological characteristic Condition, when the modeling information that the real structure model of place of the default photographed scene has meets default modeling information condition, When the default biological information in the default photographed scene meets default biological characteristic condition simultaneously, according to the default bat The default biology taken the photograph in the modeling information and the default photographed scene that the corresponding real structure model of place of scene has is special Reference breath executes default image forming process operation, obtains final multi-modal biological characteristic image and shown;
Otherwise, i.e., if the modeling information that the real structure model of place of the default photographed scene has do not meet it is default Default biological information in modeling information condition and the default photographed scene does not meet default biological characteristic condition, then The modeling information and default biological information being had according to real structure model of place are adjusted and are provided to default photographed scene Multispectral compensation illumination parameter and the acquisition default photographed scene multiplex images imaging parameters, then return and execute Step S101, until the modeling information that the real structure model of place of the default photographed scene has meets default modeling information Until default biological information in condition and the default photographed scene meets default biological characteristic condition.
In the present invention, the modeling information that the real structure model of place has includes the light conditions of scene, weather Situation, scene domain, the shape in scene and texture information;
For the present invention, default modeling information condition is primarily referred to as the attribute of scene, for example judges the illumination of photographed scene Situation, weather condition, scene domain, the shape in scene and texture information etc..In the present invention, the default biological characteristic packet Include face, iris, gait etc., default biological characteristic condition mainly include face, iris, gait image quality requirements, such as Resolution ratio, brightness, clarity of image etc..
In the present invention, scene modeling information and multi-modal biological characteristic actively perceive information are transmitted to parallel data meter The advanced imaging algorithm processing system in platform is calculated, depth chromatography type algorithm is recycled, goes to block algorithm, three-dimensional imaging algorithm, Complete the subsequent processing of image;
For the present invention, the multi-modal biological characteristic image finally obtained include: the unobstructed iris 2D image of multiple target, 2D/3D image when face and gait short distance and it is remote when 2D image.(explanation that application scenarios Fig. 5 can be referred to)
It, can be according to attributes and multi-modal biologies such as illumination, weather, scene domains in scene modeling for the present invention Characteristic image quality information, come adjust multispectral light source module lighting parameter and each image-forming module (optical field imaging module, High-resolution imaging module, high dynamic image-forming module, infrared imaging module and Depth Imaging module) imaging parameters (differentiate Rate, aperture, focal length, the depth of field, gain coefficient etc.).
It should be noted that for the present invention, the default image forming process operation can by depth chromatography type algorithm, go Block algorithm, three-dimensional imaging algorithm carries out.Wherein, it using the digital technology of focusing in optical field imaging again, is obtained using single exposure The field information taken realizes the multiple target in different focus face to scene objects by adjusting weight Focusing parameter in the depth direction Chromatography type imaging.Using synthetic aperture imaging technology, to being blocked, target carries out reduction imaging.Target is rebuild using depth information High accuracy three-dimensional shape.Target surface localized variation feature, application are analyzed using global illumination model based on 3D shape Such as shape from shading algorithm restores local illumination model, and in conjunction with the surface texture information of scene image, final realization is more The three-dimensional imaging of target.
Therefore, based on above technical solution it is found that a kind of complex scene multi-modal biological characteristic figure provided by the invention It, can be to real complex scene condition (as outdoor a wide range of and background is complicated, ambient lighting variation, target as acquisition methods Crowd is more and situations such as there is movement, attitudes vibration and mutually block) under the biological characteristic of multiple users carry out multimodal recognition, The identification demand for meeting multi-user in complicated image scene is realized to a wide range of interior iris, face, the multi-modal life of gait Object feature is effectively obtained, and the accuracy of identification is further increased, and realizes remote, high-resolution, high speed multi-modal biology Feature identification is conducive to the product use feeling for improving user, is of great practical significance.
Referring to fig. 2, in specific implementation, in order to run a kind of complex scene multi-modal biological characteristic of aforementioned present invention offer Image acquiring method, the present invention also provides a kind of complex scene multi-modal biological characteristic image acquiring device, which includes:
Actively polynary imaging unit 201, the default photographed scene for needing to shoot to user provide multispectral compensation Illumination, and the multiplex images of the acquisition default photographed scene, wherein the multiplex images of the default photographed scene include more The iris and facial image of a user, scene high-definition picture, scene high-dynamics image, multiple users infrared image and The depth image (obtaining the depth information of user, such as three-dimensional feature information) of multiple users, then sends out the multiplex images Give logic control platform 202;
Logic control platform 202 is connected with actively polynary imaging unit 201, and the image for being inputted according to user obtains The beginning perhaps corresponding starting or out of service for controlling actively polynary imaging unit of halt instruction is taken away, and is receiving master After the multiplex images for moving the default photographed scene that polynary imaging unit 201 is sent, it is flat that it is transmitted to parallel data calculating in real time Platform 203, and judge whether the modeling information that the real structure model of place of the default photographed scene has meets default build Whether the default biological information in mould information condition and the default photographed scene meets default biological characteristic condition, When the modeling information that the real structure model of place of the default photographed scene has meets default modeling information condition and described When default biological information in default photographed scene meets default biological characteristic condition, the default photographed scene pair is sent The default biological information in modeling information and the default photographed scene that the real structure model of place answered has to Advanced imaging algorithm processing system in parallel data computing platform;
It should be noted that for logic control platform 202, if by judgement, the default photographed scene it is true The modeling information that structure model of place has does not meet default in default modeling information condition and the default photographed scene Biological information does not meet default biological characteristic condition, then the modeling information that is had according to real structure model of place and pre- If biological information, the parameter and the acquisition default bat that the multispectral compensation provided to default photographed scene illuminates are adjusted The imaging parameters for taking the photograph scene multiplex images adjust parameter and acquisition that the multispectral compensation provided to default photographed scene illuminates Then the imaging parameters of the default photographed scene multiplex images return to operation actively polynary imaging unit 201, until described pre- If the modeling information that the real structure model of place of photographed scene has meets default modeling information condition and the default bat Until the default biological information taken the photograph in scene meets default biological characteristic condition;
Parallel data computing platform 203 specifically includes multi-sensor data processing system, biological characteristic scene perception and builds Modular system, multi-modal biological characteristic actively perceive system and advanced imaging algorithm processing system;Wherein:
Multi-sensor data processing system 2031 is connected with logic control platform, for the default photographed scene Multiplex images carry out preset data processing operation, obtain the multiplex images data of initialization;
Biological characteristic scene perception and modeling 2032 are flat with multi-sensor data processing system and logic control respectively Platform is connected, and for the multiplex images data according to the initialization, carries out Sensing model to the default photographed scene, obtains The corresponding real structure model of place of the default photographed scene, and it is sent to logic control platform;
Multi-modal biological characteristic actively perceive system 2033, it is flat with multi-sensor data processing system and logic control respectively Platform is connected, and for detecting the default biological information obtained in the default photographed scene, and it is flat to be sent to logic control Platform;
Advanced imaging algorithm processing system 2034, is connected with logic control platform 202, for according to the default shooting The default biological characteristic in modeling information and the default photographed scene that the corresponding real structure model of place of scene has Information executes default image forming process operation, and obtaining final multi-modal biological characteristic image and being shown (can pass through calculating The data terminals platform such as machine is shown).
For the present invention, it should be noted that special by biological characteristic scene perception and modeling and multi-modal biology Sign actively perceive system to actual physical scene carry out Sensing model, biological information is detected, for actively it is polynary at It is motivated as unit provides feedback compensation, to realize the feedback closed loop robust control of system entirety.
In the present invention, it should be noted that user needs the default photographed scene shot to preset according to the needs of users It is configured, can be any one scene of user's selection, such as hall doorway scene.
It in the present invention, can be by from the multispectral light source module that multiple multispectral light sources form to default photographed scene Multispectral compensation illumination is provided.
In the present invention, in specific implementation, the polynary imaging unit 201 of active is comprised the following modules:
Multispectral light source module 2011, including multiple multispectral light sources, are connected with logic control platform 202, for The default photographed scene that user needs to shoot provides multispectral compensation illumination;Purpose is to meet the high quality of round-the-clock scene Imaging demand;
Optical field imaging module 2012, including multiple optical field imaging sensors, are connected with logic control platform 202, are used for Acquire the iris and facial image of multiple users in the default photographed scene;
High-resolution imaging module 2013, including multiple array image sensors, are connected with logic control platform 202, For acquiring the scene high-definition picture of the default photographed scene, therefore the big view of the default photographed scene may be implemented The high-resolution imaging of field;
High dynamic image-forming module 2014, including multiple Highly-dynamic image sensors, are connected with logic control platform 202, For acquiring the scene high-dynamics image of the default photographed scene;
In specific implementation, the high dynamic image-forming module 2014 can use two high dynamics with different factors Imaging sensor obtains the high-dynamics image of the big visual field of the default photographed scene.
Infrared imaging module 2015, including multiple infrared image sensors, are connected with logic control platform 202, are used for Acquire the infrared image of multiple users in the default photographed scene;The infrared imaging module 2015 can be convenient will be described pre- If the background in photographed scene is split with people and interpersonal image;
Depth Imaging module 2016, including multiple depth cameras, are connected, for acquiring with logic control platform 202 The depth image of multiple users in the default photographed scene, therefore, the Depth Imaging module 2016 can be by described Target (people etc.) in default photographed scene is imaged in the depth direction, obtains depth information of scene, convenient for described pre- If the target (people etc.) in photographed scene perceives and establishes the three-dimensional information of scene.
In the present invention, in specific implementation, the depth camera preferably selects TOF (time-of-flight method) video camera.
In the present invention, in specific implementation, the optical field imaging module 2012 specifically uses microlens array optical field imaging Mode acquires the iris and face figure of multiple users of high angle and high spatial resolution using integrated antenna package technology Picture.
In specific implementation, the optical field imaging module 2012 can be by the sub- lens group of optical field imaging, high reflection mirror microscope group, half Anti- pellicle mirror, field stitching lens group (including the first field stitching camera lens and second field stitching camera lens) and high-resolution light field Sensor (the first high-resolution light field sensor and the second high-resolution light field sensor) group is constituted, wherein the sub- camera lens of optical field imaging Using structure design of looking in the distance, receive multiple visual angle incident beams of scene;High reflection mirror mirror is used for multiple visual angles of scene are anti- Light is penetrated to be deviated;Incident beam is divided into transmitted light beam and the reflected beams by half-reflecting half mirror, and transmitted light beam is through the first visual field Splicing camera lens is incident on the first high-resolution light field sensor, is used for near-infrared iris imaging by the first high-resolution light field sensor, Reflected light, which is incident on, is incident on the second high-resolution light field sensor through the second field stitching camera lens, is sensed by the second high-resolution light field Device is imaged for visible light face.
In the present invention, in specific implementation, the logic control platform 202 may include FPGA (field-programmable gate array Column) and ARM (single-chip microcontroller) logic control chip, wherein the image that FPGA is used to be inputted according to user, which obtains, to be started or stops Instruction, in actively polynary imaging unit 201 multispectral light source module 2011, optical field imaging module 2012, high-resolution at As module 2013, high dynamic image-forming module 2014, infrared imaging module 2015 and Depth Imaging module 2016 carry out driving control System realizes the starting of the polynary imaging unit of corresponding control active or out of service and control parameter adjusts and the biography of data Defeated caching;The data dispatch cooperation that ARM is used to be responsible between logic control platform and parallel data computing platform.
The parallel data computing platform includes combining the high-performance calculation processing system constituted by FPGA, DSP and GPU, Multi-sensor data processing system, biological characteristic scene perception and modeling, multi-modal are further divided into according to function realization Biological characteristic actively perceive system and advanced imaging algorithm processing system.
The multi-sensor data processing system, is connected with logic control platform, for the default photographed scene Multiplex images carry out preset data processing operation, obtain the multiplex images data of initialization;In specific implementation, the polynary biography Feel data processing system to be used to carry out processing, including data prediction list to the data that actively polynary imaging system obtains Member, coding unit and integrated unit.
The biological characteristic scene perception and modeling are flat with multi-sensor data processing system and logic control respectively Platform is connected, and for the multiplex images data according to the initialization, carries out Sensing model to the default photographed scene, obtains The corresponding real structure model of place of the default photographed scene, and it is sent to logic control platform;In specific implementation, the life Object feature scene perception with modeling be used for it is obvious to all the period of time, illumination variation under the conditions of complex scene perceive, instead The real structure model of place of time, illumination are covered in performance, while providing accurate feedback operation ginseng for actively polynary imaging system Number.
The multi-modal biological characteristic actively perceive system, it is flat with multi-sensor data processing system and logic control respectively Platform is connected, and for detecting the default biological information obtained in the default photographed scene, and it is flat to be sent to logic control Platform;In specific implementation, the multi-modal biological characteristic actively perceive system be used for multiple target multi-modal biological characteristic information into Row actively perceive, including target positioning unit, the region of interest characteristic of field Detection and Extraction unit, multi-modal biology in complex scene Fusion Features unit and multi-modal biological characteristic quality evaluation unit, according to the polynary imaging system of actively perceive information guiding active Targetedly imaging parameters are carried out to configure.
As described above, the advanced imaging algorithm processing system, is connected with logic control platform 202, for according to institute It states pre- in the modeling information and the default photographed scene that the corresponding real structure model of place of default photographed scene has If biological information, default image forming process operation is executed, final multi-modal biological characteristic image is obtained and shown (can To be shown by data terminals platforms such as computers).In specific implementation, the advanced imaging algorithm processing system is for realizing more mesh Mark multi-modal biological characteristic depth chromatography type imaging and penetration three-dimensional imaging, aggrandizement apparatus Depth of field range it is same When, device is improved to the imaging capability of shelter target.
It should be noted that for the present invention, the default image forming process operation can by depth chromatography type algorithm, go Block algorithm, three-dimensional imaging algorithm carries out.Wherein, it using the digital technology of focusing in optical field imaging again, is obtained using single exposure The field information taken realizes the multiple target in different focus face to scene objects by adjusting weight Focusing parameter in the depth direction Chromatography type imaging.Using synthetic aperture imaging technology, to being blocked, target carries out reduction imaging.Target is rebuild using depth information High accuracy three-dimensional shape.Target surface localized variation feature, application are analyzed using global illumination model based on 3D shape Such as shape from shading algorithm restores local illumination model, and in conjunction with the surface texture information of scene image, final realization is more The three-dimensional imaging of target.
Referring to Fig. 3, Fig. 3 is active in a kind of complex scene multi-modal biological characteristic image acquiring device provided by the invention The structure distribution front-view schematic diagram of polynary imaging unit illustrates multispectral light source module and polynary image-forming module (including light field Image-forming module 2012, high-resolution imaging module 2013, high dynamic image-forming module 2014, infrared imaging module 2015 and depth Image-forming module 2016) mechanical distribution situation.
Shown in Figure 3, a kind of complex scene multi-modal biological characteristic image acquiring device provided by the invention includes dress Shell 300 is set, the front center position of described device shell is provided with main imaging lens 303, and the main imaging lens 303 are used for For high-resolution imaging module 2013 (high-resolution imaging module) and high dynamic image-forming module 2014 (high dynamic image-forming module) Incident light camera lens access is provided.
It should be noted that the high-resolution imaging and high dynamic imaging are shared by main imaging lens for the present invention The 303 same main imaging optical paths provided, for main imaging optical path using structure design of looking in the distance, aperture is big, can satisfy to the big model of scene It surrounds as needs;It is (a kind of high that light through main imaging optical path through one group of half-reflecting half mirror is incident on array image sensor respectively Resolution image sensor) and Highly-dynamic image sensor group, it is respectively used to high-resolution imaging and high dynamic range imaging;Institute High dynamic sensor group is stated to be made of two high dynamic sensors with different factors.
In the present invention, the left side of the main imaging lens 303 is provided with infrared imaging camera lens 304, as infrared imaging The incident light camera lens access of module 2015;The right side of the main imaging lens 303 is provided with Depth Imaging camera lens 305 (specially TOF Depth Imaging camera lens), the incident light camera lens access as Depth Imaging module 2016;
The positive surrounding of described device shell is respectively uniformly distributed there are four optical field imaging lens group 306, and each group by 4 Optical field imaging camera lens camera lens composition, as the incident light camera lens access of optical field imaging module 2012, per upper and lower two light fields at As sub- camera lens constitutes an optical field imaging modular unit.It should be noted that the optical field imaging camera lens that optical field imaging module has Group 306 is not limited to as shown in Figure 3 four, can also be no less than two any number of.
In the present invention, referring to Fig. 3, the optical field imaging lens group 306, infrared imaging camera lens 304 and Depth Imaging mirror There are multiple multispectral light sources 302 around first 305 respectively, multispectral light source module is formed by the multiple multispectral light source 302 2011.Namely illustrate, the multispectral light source module 2011 is distributed in the optical field imaging lens group 306, red in array Around outer imaging lens 304 and Depth Imaging camera lens 305.
Fig. 4 is the polynary imaging system light channel structure schematic diagram of active provided by the invention, illustrates optical field imaging module 2012, high-resolution imaging module 2013, high dynamic image-forming module 2014, infrared imaging module 2015 and Depth Imaging module 2016 optical path is constituted.
The four of image-forming module are distributed in array wherein 2011 be multispectral light source module referring to Fig. 3, Fig. 4 together Week drive control is carried out by logic control platform 202, is polynary image-forming module (including optical field imaging module 2012, high score Resolution image-forming module 2013, high dynamic image-forming module 2014, infrared imaging module 2015 and Depth Imaging module 2016) it provides Multispectral compensation illumination.
Main imaging optical path 402 includes main imaging lens 303, using structure design of looking in the distance, is located at actively polynary imaging unit The object space light beam of large-scale default photographed scene is assembled in 201 center, and the light after convergence is anti-through the first half Semi-transparent prism 403 divides for transmitted light beam and the reflected beams, wherein transmitted light beam is incident on a kind of array image sensor (high score Resolution imaging sensor) 404 and generate the high-definition picture of big visual field, array image sensor 404 is using integrated circuit Encapsulation technology processes to obtain;The reflected beams are projected to the second half-reflection and half-transmission prism 405, the output of the second half-reflection and half-transmission prism 405 Transmitted light beam and the reflected beams project two high-dynamics image sensing units 406, each high-dynamics image sensing unit respectively 406 include an imaging lens and a Highly-dynamic image sensor, and wherein imaging lens are for assembling incident ray After project on corresponding sensor, the difference of two high dynamics sensing imaging units is that respective high-dynamics image senses Device has different factors, can get the different same view field image of exposure, to realize that high dynamic is imaged.
Infrared imaging module 2015 is located at the side of main imaging lens 303, as shown in Figure 4, red for carrying out to scene Outer imaging is made of infrared imaging camera lens and infrared imaging sensor, and incident light projects it after the convergence of infrared imaging camera lens On the infrared imaging sensor of rear end, infrared imaging process is completed.
Depth Imaging module 2016 is located at the side of main imaging lens 303, as shown in Figure 4, deep for carrying out to scene Degree imaging, obtains depth information of scene;The Depth Imaging module 2016 is by Depth Imaging camera lens and Depth Imaging sensor group At, on the Depth Imaging sensor that incident light projects its rear end after the convergence of Depth Imaging camera lens, completion Depth Imaging process.
Optical field imaging module 2012 is located at the surrounding of main imaging optical path 402, and every four optical field imaging camera lenses are one group, such as schemes Shown in 3, upper and lower two are an optical field imaging unit 410, as shown in figure 4, the optical field imaging unit 410 includes two light Field 414, two, the half-reflection and half-transmission prism of the second reflecting mirror 413, one of the first reflecting mirror 412, two of imaging lens 411, two view Sensing unit 418 is imaged in field splicing 415, iris imaging sensing units 416 of camera lens and a face;
Wherein, the dead astern inclination of each optical field imaging camera lens 411 is respectively arranged with first reflecting mirror 412, the longitudinally middle position of two first reflecting mirrors 412 is obliquely installed there are two the second reflecting mirror 413, and described two the The dead astern inclination of two-mirror 413 is respectively arranged with a half-reflection and half-transmission prism 414;
The angle of 414 left end of half-reflection and half-transmission prism and horizontal plane is acute angle;The half-reflection and half-transmission prism 414 just under Side and directly to the right are respectively arranged with the field stitching camera lens 415, wherein just positioned at the half-reflection and half-transmission prism 414 The field stitching camera lens 415 of lower section is connected with a face imaging sensing unit 418, is located at the half-reflection and half-transmission prism 414 The field stitching camera lens 415 of directly to the right be connected with an iris imaging sensing unit 416.
Referring to fig. 4, for optical field imaging module 2012, every four optical field imaging camera lenses 411 are one group, each light field at As lens group 306 includes two optical field imaging units 410, as shown in Figure 4, the top of the infrared imaging module 2015 and depth The lower section of degree image-forming module 2016 is respectively provided with the optical field imaging unit 410, and (practical includes two, in order to which Fig. 4 is shown It is convenient, only draw an optical field imaging unit 410 and illustrate), incident light is distinguished after the convergence of upper and lower two optical field imaging camera lenses 411 It projects on corresponding first reflecting mirror 412, optical field imaging camera lens 411 is using structure design of looking in the distance, to receive photographed scene Multi-angle of view incident beam, the first reflecting mirror 412 can reflect incident ray;The reflection light of first reflecting mirror 412 is again It is projected on half-reflection and half-transmission prism 414 after the reflection of the second reflecting mirror of another set 412;The light after half-reflection and half-transmission prism 414 Line is divided into transmitted light beam and the reflected beams, wherein transmitted light beam is incident on field stitching camera lens 415, and upper and lower two optical paths are obtained The light beam arrived carries out visual field merging, then projects the high-resolution iris imaging sensing unit 416 of its rear end, high-resolution rainbow Film imaging sensing unit is placed in the high-resolution processed using integrated antenna package technology thereafter by microlens array group and tightly Iris optical field imaging sensor composition, and the reflected beams are incident on field stitching camera lens 415, the light that upper and lower two optical paths are obtained Shu Jinhang visual field merges, then projects the high-resolution face imaging sensing unit 418 of the microlens array form of its rear end, High-resolution human face imaging sensing unit is placed in use integrated antenna package technology thereafter by microlens array group and tightly and processes High-resolution human face optical field imaging sensor composition, that is to say, that the high score that optical field imaging module 2012 includes by it Sensing unit is imaged in resolution iris imaging sensing unit and high-resolution human face, can be finally completed the rainbow of the big visual field of multi-angle of view Film, face optical field imaging.
Referring to Fig. 5, a kind of complex scene multi-modal biological characteristic image acquiring device for being provided based on aforementioned present invention Application scenarios are as shown in the figure.Iris, face and the step of the available multiple target of device (such as user 2000) provided by the invention State image information realizes that the biological information of " multi-modal, multiple target, various dimensions " effectively obtains.
Device 1000 provided by the present invention have iris biological characteristic effectively perceive region 1001, and have face and Gait biological characteristic effectively perceive region 1002;In specific implementation, after testing, wherein iris biological characteristic effectively perceive area The range in domain 1001 is about away from device 1000 apart from the regional scope for 1m (L1) to 5m (L2);Face and gait biological characteristic Effectively perceive region 1002 is the regional scope for being 5m (L2) -15m (L3) away from 1000 distance of device.
In addition, device 100 provided by the invention can obtain multiple target in iris biological characteristic effectively perceive region 1001 Iris 2D image, and can be in the immediate area in face and gait biological characteristic effectively perceive region 1002 (away from device 1000 distance be 5m-8m within the scope of) obtain multiple target face and gait 3D rendering, compared with far region (away from 1000 distance of device For within the scope of 8m-15m) obtain multiple target face and gait 2D image.It is application with living things feature recognition for the present invention Background, towards real complex scene condition (as outdoor a wide range of and background is complicated, ambient lighting variation, target group is more and deposits In movement, attitudes vibration and situations such as mutually block), by the technological incorporation in the fields such as photoelectric technology, vision computing technique with Innovation carries out effectively detection to a wide range of interior iris, face, gait multi-modal biological characteristic and obtains, and stratification acquisition is more The multidimensional image information of mode biological characteristic, before there is wide application in fields such as bio-identification, video monitoring, intelligent security guards Scape.
It is also possible to actively be felt by biological characteristic scene perception and modeling and multi-modal biological characteristic Know that system carries out Sensing model to actual physical scene, carries out detection positioning to target, is provided instead for actively polynary imaging system Feedback correction, completes that outdoor a wide range of and background is complicated, the target biometric perception with scene under the conditions of illumination variation etc. round the clock, The robust control imaging for realizing more scene multi-modal biological characteristic information, using imaging end and algorithm end cooperate with effectively control come Ensure that the multivariate data of high quality obtains.
In addition, the present invention breaches the office that traditional biological characteristic-acquisition device Depth of field is limited and target object is single Limit calculates imaging technique using optical field imaging etc., realizes and select the multiple target biological characteristic in scene different depth Property imaging, not only expand the Depth of field of scene, also can selectively determine imaging plane, raising image quality enhances simultaneously The flexibility of instrument and equipment;It is with depth information for generation crowd's occlusion issue, the present invention between multiple target in complex environment Priori knowledge is identified, divided and is rejected to the shelter of scene objects using relevant calculation imaging technique, is realized to more The more fully fine perception of biological information under crowd's target environment.
In conclusion compared with prior art, the present invention provides a kind of complex scene multi-modal biological characteristic images Acquisition methods and its device, can be to real complex scene condition (as outdoor a wide range of and background is complicated, ambient lighting becomes Change, target group is more and situations such as there is movement, attitudes vibration and mutually block) under the biological characteristic of multiple users carry out multimode State identifies, meets the identification demand of multi-user in complicated image scene, realizes to a wide range of interior iris, face, gait Multi-modal biological characteristic is effectively obtained, and the accuracy of identification is further increased, and is realized remote, high-resolution, high speed more Mode living things feature recognition is conducive to the product use feeling for improving user, is of great practical significance.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (8)

1. a kind of complex scene multi-modal biological characteristic image acquiring method, which is characterized in that comprising steps of
Step 1: the default photographed scene for needing to shoot to user provides multispectral compensation illumination;
Step 2: the multiplex images of the acquisition default photographed scene, wherein the multiplex images of the default photographed scene include The iris and facial image of multiple users, scene high-definition picture, scene high-dynamics image, multiple users infrared image with And the depth image of multiple users;
Step 3: the multiplex images to the default photographed scene carry out preset data processing operation, the polynary of initialization is obtained Image data;
Step 4: carrying out Sensing model according to the multiplex images data of the initialization to the default photographed scene, obtaining institute The corresponding real structure model of place of default photographed scene is stated, and detection obtains the default biology in the default photographed scene Characteristic information;
Step 5: judging whether the modeling information that the real structure model of place of the default photographed scene has meets default build Whether the default biological information in mould information condition and the default photographed scene meets default biological characteristic condition, When the modeling information that the real structure model of place of the default photographed scene has meets default modeling information condition, while institute When stating the default biological information in default photographed scene and meeting default biological characteristic condition, according to the default photographed scene The default biological information in modeling information and the default photographed scene that corresponding real structure model of place has, Default image forming process operation is executed, final multi-modal biological characteristic image is obtained and is shown.
2. the method as described in claim 1, which is characterized in that in the first step, by by multiple multispectral light source groups At multispectral light source module provide multispectral compensation to the default photographed scene and illuminate.
3. the method as described in claim 1, which is characterized in that in the second step, by being sensed by multiple optical field imagings Device forms optical field imaging module to acquire the iris and facial image of multiple users in the default photographed scene;
The scene of the default photographed scene is acquired by the high-resolution imaging module being made of multiple array image sensors High-resolution;
The scene of the default photographed scene is acquired by the high dynamic image-forming module being made of multiple Highly-dynamic image sensors High-dynamics image;
Multiple users in the default photographed scene are acquired by the infrared imaging module being made of multiple infrared image sensors Infrared image;
The depth of multiple users in the default photographed scene is acquired by the Depth Imaging module being made of multiple depth cameras Spend image.
4. method as claimed in claim 3, which is characterized in that the depth camera is time-of-flight method TOF camera.
5. a kind of complex scene multi-modal biological characteristic image acquiring device characterized by comprising
Actively polynary imaging unit, the default photographed scene for needing to shoot to user provide multispectral compensation illumination, with And the multiplex images of the acquisition default photographed scene, wherein the multiplex images of the default photographed scene include multiple users Iris and facial image, scene high-resolution, scene high-dynamics image, the infrared image of multiple users and multiple users Then the multiplex images are sent to logic control platform by depth image;
Logic control platform is connected with actively polynary imaging unit, the image for being inputted according to user obtain start or Halt instruction, the starting or out of service of the polynary imaging unit of corresponding control active, and receiving actively polynary imaging After the multiplex images for the default photographed scene that unit is sent, it is transmitted to parallel data computing platform in real time, and judge institute Whether the modeling information that stating the real structure model of place of default photographed scene has meets default modeling information condition, Yi Jisuo State whether the default biological information in default photographed scene meets default biological characteristic condition, when the default photographed scene The modeling information that has of real structure model of place meet it is pre- in default modeling information condition and the default photographed scene If biological information meets default biological characteristic condition, the corresponding real structure scene mould of the default photographed scene is sent The default biological information in modeling information and the default photographed scene that type has is in parallel data computing platform Advanced imaging algorithm processing system;
Parallel data computing platform, specifically include multi-sensor data processing system, biological characteristic scene perception and modeling, Multi-modal biological characteristic actively perceive system and advanced imaging algorithm processing system;Wherein:
Multi-sensor data processing system is connected with logic control platform, for the polynary figure to the default photographed scene As carrying out preset data processing operation, the multiplex images data of initialization are obtained;
Biological characteristic scene perception and modeling are connected with multi-sensor data processing system and logic control platform respectively It connects, for the multiplex images data according to the initialization, Sensing model is carried out to the default photographed scene, is obtained described pre- If the corresponding real structure model of place of photographed scene, and it is sent to logic control platform;
Multi-modal biological characteristic actively perceive system, is connected with multi-sensor data processing system and logic control platform respectively It connects, for detecting the default biological information obtained in the default photographed scene, and is sent to logic control platform;
Advanced imaging algorithm processing system, is connected with logic control platform, for corresponding according to the default photographed scene The default biological information in modeling information and the default photographed scene that real structure model of place has executes pre- If image forming process operation, obtains final multi-modal biological characteristic image and shown.
6. device as claimed in claim 5, which is characterized in that the polynary imaging unit of active includes multispectral light source mould Block, optical field imaging module, high-resolution imaging module, high dynamic image-forming module, infrared imaging module and Depth Imaging module;
The multispectral light source module, optical field imaging module, high-resolution imaging module, high dynamic image-forming module, infrared imaging Module and Depth Imaging module are connected with the logic control platform respectively.
7. device as claimed in claim 5, which is characterized in that including crust of the device (300), in the front of described device shell Heart position is provided with main imaging lens (303);
It is provided with infrared imaging camera lens (304) on the left of the main imaging lens (303), the right side of the main imaging lens (303) Side is provided with Depth Imaging camera lens (305);
The positive surrounding of described device shell is respectively uniformly distributed there are four optical field imaging lens group (306);
Have respectively around the optical field imaging lens group (306), infrared imaging camera lens (304) and Depth Imaging camera lens (305) Multiple multispectral light sources (302).
8. device as claimed in claim 5, which is characterized in that the logic control platform includes field programmable gate array FPGA and Chip Microcomputer A RM logic control chip, in which:
The image that on-site programmable gate array FPGA is used to be inputted according to user obtains beginning or halt instruction, to actively polynary It is multispectral light source module, optical field imaging module, high-resolution imaging module, high dynamic image-forming module in imaging unit, infrared Image-forming module and Depth Imaging module carry out drive control, realize the starting of the polynary imaging unit of corresponding control active or stop The only transmission buffer of operation and control parameter adjusting and data;Chip Microcomputer A RM logic control chip is for being responsible for logic control Data dispatch cooperation between platform and parallel data computing platform.
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Denomination of invention: A method and device for obtaining multimodal biological feature images in complex scenes

Granted publication date: 20190426

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