CN106548489A - The method for registering of a kind of depth image and coloured image, three-dimensional image acquisition apparatus - Google Patents

The method for registering of a kind of depth image and coloured image, three-dimensional image acquisition apparatus Download PDF

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CN106548489A
CN106548489A CN201610835431.9A CN201610835431A CN106548489A CN 106548489 A CN106548489 A CN 106548489A CN 201610835431 A CN201610835431 A CN 201610835431A CN 106548489 A CN106548489 A CN 106548489A
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image
pixel
depth
coloured image
black light
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CN106548489B (en
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黄源浩
刘龙
肖振中
许星
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Orbbec Inc
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Shenzhen Orbbec Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10048Infrared image

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Abstract

The invention discloses the method for registering of a kind of depth image and coloured image, three-dimensional image acquisition apparatus, the method includes:The black light image and coloured image of object to be measured are gathered using collecting device;Pixel coordinate deviant of each pixel relative to reference picture in calculating black light image;The depth value of each pixel in coloured image is calculated using the parameter of deviant and collecting device.By the way, the present invention can save the memory space of system without the need for the depth value of the black light image of calculating collection, while the error that the calculating for avoiding complexity brings, improves the efficiency and precision of registration.

Description

The method for registering of a kind of depth image and coloured image, three-dimensional image acquisition apparatus
Technical field
The present invention relates to technical field of image processing, the registering side of more particularly to a kind of depth image and coloured image Method, three-dimensional image acquisition apparatus.
Background technology
In three-dimensional camera shooting or three-dimensional artificial smart field, depth camera and color camera of the utilization based on structure light are simultaneously The depth image and coloured image for obtaining target is the mode that current precision is higher and is easily achieved.Due to depth camera and coloured silk Form and aspect machine causes depth image to have certain parallax with coloured image, that is to say, that same spatial point in deviation geometrically On depth image and coloured image, corresponding location of pixels is differed.
In the prior art, in order to depth image is alignd with coloured image, usually using in depth image Depth value calculates pixel parallax, recycles parallax that depth image is carried out deviation amendment, and this algorithm is often inaccurate, causes Alignment effect is not good.
The content of the invention
The invention mainly solves the technical problem of providing method for registering, the graphics of a kind of depth image and coloured image As harvester, the depth value of the black light image without the need for calculating collection, the memory space of system can be saved, while avoiding The error that complicated calculatings brings, improves registering efficiency and precision.
To solve above-mentioned technical problem, one aspect of the present invention is:Depth image and coloured image are provided Method for registering, the method for registering includes:The black light image and coloured image of object to be measured are gathered using collecting device;Meter Pixel coordinate deviant of each pixel relative to reference picture in calculation black light image;Using deviant and collecting device Parameter is calculated the depth value of each pixel in coloured image.
Wherein, the black light image and coloured image of object to be measured are gathered using collecting device, including:Using structure light Depth camera is to Object Projection structured light patterns to be measured, and gathers the black light image of object to be measured;And using colored phase Machine gathers the coloured image of object to be measured.
Wherein, the depth value of each pixel in coloured image is calculated using the parameter of deviant and collecting device, is wrapped Include:Each pixel correspondence picture on coloured image in black light image is calculated using the parameter of deviant and collecting device The pixel coordinate and depth value of element;The pixel coordinate and depth value of coloured image are processed using interpolation algorithm, obtained The depth value of all pixels in coloured image.
Wherein, each pixel is calculated in black light image in cromogram using the parameter of deviant and collecting device As the pixel coordinate and depth value of upper respective pixel, including:The pixel of black light image is calculated using below equation Coordinate (uD,vD) with the pixel coordinate (u of coloured imageR,vR) between corresponding relation and coloured image pixel coordinate (uR, vR) corresponding depth value:Wherein, The pixel homogeneous coordinates that respectively coloured image and black light image coordinate are fastened;ZRTo sit Mark (uR,vR) corresponding depth value;MR、MD, R, T collecting device parameter for being, wherein MR、MDRespectively color camera and structure light The internal reference matrix of depth camera, R, T are respectively spin matrix and translation matrix of the structure light depth camera relative to color camera; Δ is pixel coordinate deviant;B is the distance between the magazine projection module of mechanism's optical depth and collection module;F is collection The lens focus of module.
Wherein, interpolation algorithm be ternary linear interpolation, ternary cubic interpolation, the one kind in Kriging regression algorithm.
Wherein, structure light depth camera is infrared structure optical depth camera, including infrared projection module and infrared receiver Module;Structured light patterns are irregular speckle pattern.
Wherein, pixel coordinate deviant of each pixel relative to reference picture in calculating black light image, including:Really Determine the displacement mapping relations of each pixel and respective pixel in reference picture in black light image;It is determined that corresponding search is calculated Method;According to displacement mapping relations and searching algorithm, pixel coordinate offset value delta is calculated.
To solve above-mentioned technical problem, another technical solution used in the present invention is:A kind of three-dimensional image acquisition is provided Device, the harvester include:Collecting device, for gathering the black light image and coloured image of object to be measured;Processor, For calculating pixel coordinate deviant of each pixel relative to reference picture in black light image;And using deviant and The parameter of collecting device is calculated the depth value of each pixel in coloured image, so as to obtain the 3-D view of object to be measured.
Wherein, collecting device includes structure light depth camera and color camera;Structure light depth camera is for to be measured Object Projection structured light patterns, and gather the black light image of object to be measured;Color camera is used for the coloured silk for gathering object to be measured Color image.
Wherein, processor specifically for being calculated the pixel coordinate (u of black light image using below equationD,vD) with Pixel coordinate (the u of coloured imageR,vR) between corresponding relation and coloured image pixel coordinate (uR,vR) corresponding depth Value:Wherein,Respectively For the pixel homogeneous coordinates that coloured image and black light image coordinate are fastened;ZRFor coordinate (uR,vR) corresponding depth value; MR、MD, R, T collecting device parameter for being, wherein MR、MDThe respectively internal reference matrix of color camera and structure light depth camera, R, T is respectively spin matrix and translation matrix of the structure light depth camera relative to color camera;Δ is pixel coordinate deviant;B For the distance between the magazine projection module of mechanism's optical depth and collection module;F is the lens focus for gathering module.
The invention has the beneficial effects as follows:It is different from the situation of prior art, depth image and the coloured image of the present invention Method for registering includes:The black light image and coloured image of object to be measured are gathered using collecting device;Calculate black light figure Pixel coordinate deviant of each pixel relative to reference picture as in;It is calculated using the parameter of deviant and collecting device The depth value of each pixel in coloured image.By the way, can pass through directly using collection black light image with The parameter of the calculated deviation value of reference picture and collecting device is obtained on the coloured image that gathers on respective pixel coordinate Depth value.Due to the depth value of the black light image without the need for calculating collection, the memory space of system is saved, while avoiding The error that complicated calculating brings, improves the efficiency and precision of registration.
Description of the drawings
Fig. 1 is the schematic flow sheet of depth image of the present invention and one embodiment of method for registering of coloured image;
Fig. 2 is the stream of depth image of the present invention and an embodiment of S12 in one embodiment of method for registering of coloured image Journey schematic diagram;
Fig. 3 is the stream of depth image of the present invention and an embodiment of S13 in one embodiment of method for registering of coloured image Journey schematic diagram;
Fig. 4 is the structural representation of one embodiment of three-dimensional image acquisition apparatus of the present invention;
Fig. 5 is the structural representation of another embodiment of three-dimensional image acquisition apparatus of the present invention.
Specific embodiment
Refering to Fig. 1, Fig. 1 is the flow process signal of depth image of the present invention and one embodiment of method for registering of coloured image Figure, the method include:
S11:The black light image and coloured image of object to be measured are gathered using collecting device.
Wherein, black light image can be collected by black light receiving module, and coloured image can be Collected by color camera, the mode of collection can be taken pictures or image.
Usually, module is projected to Object Projection to be measured from black light, then by black light receiving module gathering The black light image of object to be measured.Black light projection module therein and black light receiving module can be collectively forming one Individual black light shoots camera.
Wherein, black light projection module is made up of light source and diffraction optical element, and light source is adopted for launching and this The single surface-emission laser of black light consistent wavelength, the effect of diffraction optical element be by it is laser collimated be beamed into it is multiple The black light light beam being randomly distributed.In other embodiment, light source can also adopt the light source of array, such as vertical cavity surface to send out Laser array is penetrated, the arrangement pattern of the light source of array can be consistent with the partial subgraph case in the beam pattern for projecting.Can not See between light projection module and black light receiving module at intervals.
Additionally, black light projection module, black light receiving module and color camera can be configured in same On straight line, it is also possible to have a certain degree.As geometrically black light receiving module is not overlap with color camera, cause collection Black light image and coloured image exist in pixel parallax, i.e. space certain point in black light image and cromogram The relative position of the pixel coordinate as in is different.
Wherein, the black light can be infrared light or ultraviolet light etc., for example, it may be wavelength is 830nm's or 850nm Infrared light.
Optionally, in one embodiment, S11 can be specially:
Using structure light depth camera to Object Projection structured light patterns to be measured, and gather the black light figure of object to be measured Picture;And the coloured image of object to be measured is gathered using color camera.
Wherein, structure light depth camera is infrared structure optical depth camera, including infrared projection module and infrared receiver Module;Structured light patterns are irregular speckle pattern.
It should be understood that in general, or it is to be measured to as if motion in the case of, structure light depth camera and coloured silk Form and aspect machine should have identical frequency acquisition, so as to collect black light image and coloured image in synchronization. Certainly, acquisition target absolute rest or other in particular cases, it is also possible to acquisition time black light image and coloured image.
S12:Pixel coordinate deviant of each pixel relative to reference picture in calculating black light image.
Wherein, reference picture is a width black light image of known depth value.Specifically, can be perpendicular to structure light A flat board is placed in the plane of the optical axis of depth camera, known to the distance of the flat board and structure light depth camera.Again to the flat board Projection structure light pattern is simultaneously taken pictures or is photographed by structure light depth camera and obtained reference picture.Wherein, reference picture The pattern of the black light image of pattern and collection object to be measured is to be collected under the projection of same projection module respectively , i.e., in order to ensure the uniformity of its structured light patterns (speckle pattern).
Optionally, the known depth of reference picture can arbitrarily be arranged, and generally, can select structure optical depth The median of the depth survey scope of degree camera, for example, the depth survey scope of structure light depth camera is (a, b), then refer to The depth of image can be
Optionally, refering to Fig. 2, in one embodiment, S12 can be specifically included:
S121:Determine the displacement mapping relations of each pixel and respective pixel in reference picture in black light image.
S122:It is determined that corresponding searching algorithm.
S123:According to displacement mapping relations and searching algorithm, pixel coordinate offset value delta is calculated.
Specifically, simple introduction is done to calculating deviant below:
The pixel region more than one of target pixel points is included at least in extracting the black light image of collection, due to speckle pattern Case is identical, you can to find one in a reference image with the pixel region very much like (similarity reaches pre-conditioned) A region (finding target pixel points corresponding pixel points in a reference image in black light image), obtain wherein with The coordinate of the corresponding pixel of target pixel points, so by comparing the drift condition of two pixels, it is possible to obtain in space The deviant of pixel coordinate of the same point in black light image and reference picture.
Specifically, it is first determined the displacement mapping function of each pixel, it is however generally that the function needs to consider collection not In two width figure of visible images and reference picture on object to be measured each point translation and deformation.In the present embodiment, due to two Pattern in width figure causes change in location only due to subject depth to be measured changes, and larger deformation does not occur, therefore The function can be simplified to only consider the situation of translation, i.e.,:X=x+ Δs.Here X and x is respectively a point of object to be measured Pixel coordinate in the black light image and reference picture of collection, Δ is pixel coordinate deviant to be asked.
Secondly, it is determined that corresponding searching algorithm.Newton iteration method is generally adopted by, but the algorithm is related to substantial amounts of Number and division arithmetic, algorithm write and execution efficiency is not high.The present embodiment can be using based on interative least square method Searching algorithm.Situation due to being only considered along X-direction translation, thus only need to carry out one-dimensional searching algorithm just can be with, So can boosting algorithm by a relatively large margin efficiency and precision.
Finally just offset value delta can be solved with reference to displacement mapping function and interative least square method.
S13:The depth value of each pixel in coloured image is calculated using the parameter of deviant and collecting device.
Wherein, deviant is calculated offset value delta in above-mentioned S12, and collecting device includes adopting for black light image The collecting device of collection equipment and coloured image, in the present embodiment, can be structure light depth camera and color camera.Collection sets Standby parameter includes outer ginseng and internal reference, wherein, outer ginseng includes the degrees of offset between structure light depth camera and color camera, for example Distance and the anglec of rotation etc., internal reference include the parameter of the camera internals such as the camera lens of camera, focal length.
Optionally, refering to Fig. 3, in one embodiment, S13 can be specifically included:
S131:Each pixel is calculated in black light image in cromogram using the parameter of deviant and collecting device As the pixel coordinate and depth value of upper respective pixel.
Due to gather black light image each pixel respectively and reference picture and the coloured image of collection between have There is corresponding relation, therefore, it can set up the corresponding relation in coloured image and reference picture between each pixel coordinate.
Pixel coordinate (the u of black light image can be calculated using below equation specificallyD,vD) and coloured image Pixel coordinate (uR,vR) between corresponding relation and coloured image pixel coordinate (uR,vR) corresponding depth value:
Wherein,Respectively coloured image and black light The pixel homogeneous coordinates that image coordinate is fastened;ZRFor coordinate (uR,vR) corresponding depth value;MR、MD, R, T be collecting device ginseng Number, wherein MR、MDThe respectively internal reference matrix of color camera and laser camera, R, T are respectively laser camera relative to color camera Spin matrix and translation matrix;Δ is pixel coordinate deviant;B is the magazine projection module of mechanism's optical depth and collection mould The distance between group;F is the lens focus for gathering module.
S132:The pixel coordinate and depth value of coloured image are processed using interpolation algorithm, obtain coloured image The depth value of middle all pixels.
As the black light image for gathering has certain skew with coloured image, each pixel in black light image A corresponding pixel can not possibly be found in coloured image, in other words, part picture in coloured image, is had Vegetarian refreshments cannot obtain its depth value, therefore, it can carry out the pixel coordinate and depth value of coloured image using interpolation algorithm Process, obtain the depth value of all pixels in coloured image.
Optionally, interpolation algorithm be ternary linear interpolation, ternary cubic interpolation, the one kind in Kriging regression algorithm, this In be not construed as limiting.
So, the depth value of each pixel in the coloured image for collecting by above-mentioned S11-S13, has just been obtained, i.e., The coloured image with depth information can be obtained, the registration of depth image and coloured image in other words, that is, is completed.
Certainly, in other embodiments, it is also possible to obtain every in black light image by above-mentioned corresponded manner The rgb value of individual pixel, then by related algorithm being carried out with reference picture, obtain the depth value of black light image, so as to obtain Coloured image with depth information.
Prior art is different from, the depth image of present embodiment is included with the method for registering of coloured image:Using collection Equipment gathers the black light image and coloured image of object to be measured;In calculating black light image, each pixel is relative to reference The pixel coordinate deviant of image;The depth of each pixel in coloured image is calculated using the parameter of deviant and collecting device Angle value.By the way, black light image and the calculated deviation of reference picture directly using collection can be passed through The parameter of value and collecting device obtains the depth value on the coloured image of collection on respective pixel coordinate.Due to adopting without the need for calculating The depth value of the black light image of collection, saves the memory space of system, while the error that the calculating for avoiding complexity brings, carries The efficiency and precision of high registration.
Refering to Fig. 4, Fig. 4 is the structural representation of one embodiment of three-dimensional image acquisition apparatus of the present invention, and the device includes:
Collecting device 41, for gathering the black light image and coloured image of object to be measured;
Processor 42, offsets relative to the pixel coordinate of reference picture for calculating each pixel in black light image Value;And the depth value of each pixel in coloured image is calculated using the parameter of deviant and collecting device, so as to obtain The 3-D view of object to be measured.
Wherein, collecting device 41 specifically includes structure light depth camera 411 and color camera 412.
Structure light depth camera 411 is for Object Projection structured light patterns to be measured, and gathers the invisible of object to be measured Light image.
Color camera 412 is used for the coloured image for gathering object to be measured.
Wherein, in another embodiment, as shown in figure 5, structure light depth camera 41 is infrared structure optical depth camera 50, which includes:Infrared projection module 51, for Object Projection infrared structure light pattern to be measured;Infrared receiver module 52, is used for Gather the infrared image of object to be measured.
Optionally, infrared projection module 51 is used to project infrared speckle pattern, and infrared receiver module 52 is used to receive to be measured The infrared speckle image of object.
It should be understood that infrared projection module 51, infrared receiver module 52 and color camera 412 can be straight in same Arrange on line, it is also possible to which certain angle is arranged.
Optionally, in other embodiments, processor 42 is additionally operable to
Pixel coordinate (the u of black light image is calculated using below equationD,vD) with the pixel coordinate of coloured image (uR,vR) between corresponding relation and coloured image pixel coordinate (uR,vR) corresponding depth value:
Wherein,Respectively coloured image and black light The pixel homogeneous coordinates that image coordinate is fastened;ZRFor coordinate (uR,vR) corresponding depth value;MR、MD, R, T be collecting device ginseng Number, wherein MR、MDThe respectively internal reference matrix of color camera and laser camera, R, T are respectively laser camera relative to color camera Spin matrix and translation matrix;Δ is pixel coordinate deviant;B is the magazine projection module of mechanism's optical depth and collection mould The distance between group;F is the lens focus for gathering module.
Below, with a specific example, the principle and step of present embodiment are described in detail:
1st, first with infrared camera and the speckle image and coloured image of color camera collection target.
Need exist for acquisition time and frequency by the infrared receiver module of infrared camera and color camera using processor It is configured, realizes the synchronous acquisition to target image.Infrared receiver module and color camera inner parameter (focal length and in The heart) and color camera need in advance to be demarcated relative to the external parameter (rotation and translation parameters) of infrared receiver module, Generally speaking these parameters can be stored in the internal memory that system is specified, when subsequently being calculated, and can be called at any time.
2nd, and then using loading by means of digital image correlation method infrared image is calculated relative to reference to each pixel in speckle image Disagreement value A.
It is similar with the inside and outside parameter calibration of camera, obtain with reference to speckle image and in advance.Comprise the concrete steps that apart from red Depth Z known to outer receiving module0Place, places the flat board perpendicular to infrared receiver module optical axis, then using infrared projection mould Group as refers to speckle image to projection speckle on the flat board, then by the speckle image that infrared receiver module is collected.
3rd, a group calculated in conjunction with camera parameter and disagreement value A under color camera pixel coordinate system includes depth The three dimensional point cloud of value and coordinate value.
After second step calculates the bias Δ of each pixel in infrared speckle image, one group is directly calculated by picture by following formula The three dimensional point cloud that plain coordinate and depth value are constituted is (uR,vR,ZR):
Wherein,Respectively coloured image and black light The pixel homogeneous coordinates that image coordinate is fastened;ZRFor coordinate (uR,vR) corresponding depth value;MR、MD, R, T be collecting device ginseng Number, wherein MR、MDThe respectively internal reference matrix of color camera and laser camera, R, T are respectively laser camera relative to color camera Spin matrix and translation matrix;Δ is pixel coordinate deviant;B is the magazine projection module of mechanism's optical depth and collection mould The distance between group;F is the lens focus for gathering module.
The three dimensional point cloud for obtaining refers to the corresponding spatial point of depth camera each pixel and is imaged on color camera picture Coordinate value and depth value in plain coordinate system.
4th, the depth value of each pixel of color camera is finally calculated using interpolation algorithm.
Wherein, interpolation algorithm can be the one kind in ternary linear interpolation, ternary cubic interpolation, Kriging regression algorithm.
Prior art is different from, the three-dimensional image acquisition apparatus of present embodiment include:Collecting device, it is to be measured for gathering The black light image of object and coloured image;Processor, for calculating in black light image each pixel relative to reference The pixel coordinate deviant of image;And each pixel in coloured image is calculated using the parameter of deviant and collecting device Depth value.By the way, the black light image and reference picture that can pass through directly using collection is calculated The parameter of deviation value and collecting device obtains the depth value on the coloured image of collection on respective pixel coordinate.Due to without the need for meter The depth value of the black light image of collection is calculated, the memory space of system is saved, while the mistake that the calculating for avoiding complexity brings Difference, improves the efficiency and precision of registration.
Embodiments of the present invention are the foregoing is only, the scope of the claims of the present invention is not thereby limited, it is every using this Equivalent structure or equivalent flow conversion that description of the invention and accompanying drawing content are made, or directly or indirectly it is used in other correlations Technical field, is included within the scope of the present invention.

Claims (10)

1. the method for registering of a kind of depth image and coloured image, it is characterised in that include:
The black light image and coloured image of object to be measured are gathered using collecting device;
Calculate pixel coordinate deviant of each pixel relative to reference picture in the black light image;
The depth value of each pixel in the coloured image is calculated using the parameter of the deviant and the collecting device.
2. method for registering according to claim 1, it is characterised in that
The utilization collecting device gathers the black light image and coloured image of object to be measured, including:
Using structure light depth camera to the Object Projection structured light patterns to be measured, and gather the invisible of the object to be measured Light image;And
The coloured image of the object to be measured is gathered using color camera.
3. method for registering according to claim 2, it is characterised in that
The parameter using the deviant and the collecting device is calculated the depth of each pixel in the coloured image Angle value, including:
Each pixel is calculated in the black light image in institute using the parameter of the deviant and the collecting device State the pixel coordinate and depth value of respective pixel on coloured image;
The pixel coordinate and depth value of the coloured image are processed using interpolation algorithm, obtained in the coloured image The depth value of all pixels.
4. method for registering according to claim 3, it is characterised in that described using the deviant and the collecting device Parameter be calculated the pixel coordinate of each pixel respective pixel on the coloured image in the black light image with And depth value, including:
Pixel coordinate (the u of the black light image is calculated using below equationD,vD) pixel with the coloured image Coordinate (uR,vR) between corresponding relation and the coloured image pixel coordinate (uR,vR) corresponding depth value:
Z R U R ~ = BfZ 0 B f - Z 0 Δ M R RM D - 1 U D ~ + M R T ;
Wherein,Respectively described coloured image and it is described can not The pixel homogeneous coordinates seen on light image coordinate system;ZRFor coordinate (uR,vR) corresponding depth value;MR、MD, R, T be described adopting Collection device parameter, wherein MR、MDThe internal reference matrix of respectively described color camera and the structure light depth camera, R, T are respectively Spin matrix and translation matrix of the structure light depth camera relative to the color camera;Δ is offset for the pixel coordinate Value;B is the distance between the magazine projection module of mechanism's optical depth and collection module;F is the mirror of the collection module Head focal length.
5. method for registering according to claim 3, it is characterised in that
The interpolation algorithm is ternary linear interpolation, ternary cubic interpolation, the one kind in Kriging regression algorithm.
6. method for registering according to claim 2, it is characterised in that
The structure light depth camera is infrared structure optical depth camera, including infrared projection module and infrared receiver module;
The structured light patterns are irregular speckle pattern.
7. method for registering according to claim 1, it is characterised in that
It is described to calculate pixel coordinate deviant of each pixel relative to reference picture in the black light image, including:
Determine the displacement mapping relations of each pixel and respective pixel in the reference picture in the black light image;
It is determined that corresponding searching algorithm;
According to the displacement mapping relations and the searching algorithm, the pixel coordinate offset value delta is calculated.
8. a kind of three-dimensional image acquisition apparatus, it is characterised in that include:
Collecting device, for gathering the black light image and coloured image of object to be measured;
Processor, for calculating pixel coordinate deviant of each pixel relative to reference picture in the black light image; And
The depth value of each pixel in the coloured image is calculated using the parameter of the deviant and the collecting device, So as to obtain the 3-D view of the object to be measured.
9. harvester according to claim 8, it is characterised in that
The collecting device includes structure light depth camera and color camera;
The structure light depth camera is for the Object Projection structured light patterns to be measured, and gathers the object to be measured not Visible images;
The color camera is used for the coloured image for gathering the object to be measured.
10. harvester according to claim 9, it is characterised in that
The processor specifically for being calculated the pixel coordinate (u of the black light image using below equationD,vD) with Pixel coordinate (the u of the coloured imageR,vR) between corresponding relation and the coloured image pixel coordinate (uR,vR) right The depth value answered:
Z R U R ~ = BfZ 0 B f - Z 0 Δ M R RM D - 1 U D ~ + M R T ;
Wherein,Respectively described coloured image and it is described can not The pixel homogeneous coordinates seen on light image coordinate system;ZRFor coordinate (uR,vR) corresponding depth value;MR、MD, R, T be described adopting Collection device parameter, wherein MR、MDThe internal reference matrix of respectively described color camera and the structure light depth camera, R, T are respectively Spin matrix and translation matrix of the structure light depth camera relative to the color camera;Δ is offset for the pixel coordinate Value;B is the distance between the magazine projection module of mechanism's optical depth and collection module;F is the mirror of the collection module Head focal length.
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CN111882596A (en) * 2020-03-27 2020-11-03 浙江水晶光电科技股份有限公司 Structured light module three-dimensional imaging method and device, electronic equipment and storage medium
CN112734862A (en) * 2021-02-10 2021-04-30 北京华捷艾米科技有限公司 Depth image processing method and device, computer readable medium and equipment
CN112950502A (en) * 2021-02-26 2021-06-11 Oppo广东移动通信有限公司 Image processing method and device, electronic device and storage medium
WO2021238214A1 (en) * 2020-05-24 2021-12-02 奥比中光科技集团股份有限公司 Three-dimensional measurement system and method, and computer device
CN115797426A (en) * 2023-02-13 2023-03-14 合肥的卢深视科技有限公司 Image alignment method, electronic device and storage medium
WO2023179390A1 (en) * 2022-03-23 2023-09-28 腾讯科技(深圳)有限公司 Object recognition method and apparatus, electronic device, computer readable storage medium and computer program product

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102625127A (en) * 2012-03-24 2012-08-01 山东大学 Optimization method suitable for virtual viewpoint generation of 3D television
CN103607584A (en) * 2013-11-27 2014-02-26 浙江大学 Real-time registration method for depth maps shot by kinect and video shot by color camera
CN103778643A (en) * 2014-01-10 2014-05-07 深圳奥比中光科技有限公司 Method and device for generating target depth information in real time
CN103796001A (en) * 2014-01-10 2014-05-14 深圳奥比中光科技有限公司 Method and device for synchronously acquiring depth information and color information
CN104463880A (en) * 2014-12-12 2015-03-25 中国科学院自动化研究所 RGB-D image acquisition method
US20160080727A1 (en) * 2014-09-16 2016-03-17 Canon Kabushiki Kaisha Depth measurement apparatus, imaging apparatus, and depth measurement method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102625127A (en) * 2012-03-24 2012-08-01 山东大学 Optimization method suitable for virtual viewpoint generation of 3D television
CN103607584A (en) * 2013-11-27 2014-02-26 浙江大学 Real-time registration method for depth maps shot by kinect and video shot by color camera
CN103778643A (en) * 2014-01-10 2014-05-07 深圳奥比中光科技有限公司 Method and device for generating target depth information in real time
CN103796001A (en) * 2014-01-10 2014-05-14 深圳奥比中光科技有限公司 Method and device for synchronously acquiring depth information and color information
US20160080727A1 (en) * 2014-09-16 2016-03-17 Canon Kabushiki Kaisha Depth measurement apparatus, imaging apparatus, and depth measurement method
CN104463880A (en) * 2014-12-12 2015-03-25 中国科学院自动化研究所 RGB-D image acquisition method

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107424187A (en) * 2017-04-17 2017-12-01 深圳奥比中光科技有限公司 Depth calculation processor, data processing method and 3D rendering equipment
CN107424187B (en) * 2017-04-17 2023-10-24 奥比中光科技集团股份有限公司 Depth calculation processor, data processing method and 3D image device
CN108871310A (en) * 2017-05-12 2018-11-23 中华映管股份有限公司 Thermal image positioning system and localization method
CN107360066A (en) * 2017-06-29 2017-11-17 深圳奥比中光科技有限公司 A kind of household service robot and intelligent domestic system
CN107229262A (en) * 2017-06-29 2017-10-03 深圳奥比中光科技有限公司 A kind of intelligent domestic system
CN107437261B (en) * 2017-07-14 2021-03-09 梅卡曼德(北京)机器人科技有限公司 Depth image acquisition method
CN107437261A (en) * 2017-07-14 2017-12-05 梅卡曼德(北京)机器人科技有限公司 Depth image acquisition method
CN108413893A (en) * 2018-03-12 2018-08-17 四川大学 A kind of method and apparatus of speckle deviation art detection plane component face shape
CN110363806A (en) * 2019-05-29 2019-10-22 中德(珠海)人工智能研究院有限公司 A method of three-dimensional space modeling is carried out using black light projection feature
CN110363806B (en) * 2019-05-29 2021-12-31 中德(珠海)人工智能研究院有限公司 Method for three-dimensional space modeling by using invisible light projection characteristics
CN110705487A (en) * 2019-10-08 2020-01-17 清华大学深圳国际研究生院 Palm print acquisition equipment and method and image acquisition device thereof
CN110705487B (en) * 2019-10-08 2022-07-29 清华大学深圳国际研究生院 Palm print acquisition equipment and method and image acquisition device thereof
CN111045030A (en) * 2019-12-18 2020-04-21 深圳奥比中光科技有限公司 Depth measuring device and method
CN111882596A (en) * 2020-03-27 2020-11-03 浙江水晶光电科技股份有限公司 Structured light module three-dimensional imaging method and device, electronic equipment and storage medium
CN111882596B (en) * 2020-03-27 2024-03-22 东莞埃科思科技有限公司 Three-dimensional imaging method and device for structured light module, electronic equipment and storage medium
CN111537074A (en) * 2020-03-31 2020-08-14 深圳奥比中光科技有限公司 Temperature measuring method and system
WO2021238214A1 (en) * 2020-05-24 2021-12-02 奥比中光科技集团股份有限公司 Three-dimensional measurement system and method, and computer device
CN112734862A (en) * 2021-02-10 2021-04-30 北京华捷艾米科技有限公司 Depth image processing method and device, computer readable medium and equipment
WO2022179251A1 (en) * 2021-02-26 2022-09-01 Oppo广东移动通信有限公司 Image processing method and apparatus, electronic device, and storage medium
CN112950502B (en) * 2021-02-26 2024-02-13 Oppo广东移动通信有限公司 Image processing method and device, electronic equipment and storage medium
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