CN107358633A - Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things - Google Patents

Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things Download PDF

Info

Publication number
CN107358633A
CN107358633A CN201710564438.6A CN201710564438A CN107358633A CN 107358633 A CN107358633 A CN 107358633A CN 201710564438 A CN201710564438 A CN 201710564438A CN 107358633 A CN107358633 A CN 107358633A
Authority
CN
China
Prior art keywords
camera
demarcation
outside
polyphaser
ginseng
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710564438.6A
Other languages
Chinese (zh)
Inventor
郭*
郭
路晗
黄永鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BEIJING LIGHT TECHNOLOGY Co Ltd
Original Assignee
BEIJING LIGHT TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BEIJING LIGHT TECHNOLOGY Co Ltd filed Critical BEIJING LIGHT TECHNOLOGY Co Ltd
Priority to CN201710564438.6A priority Critical patent/CN107358633A/en
Publication of CN107358633A publication Critical patent/CN107358633A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention discloses scaling method is joined inside and outside a kind of polyphaser based on 3 points of demarcation things, comprise the following steps:S10:Picture point data acquisition;S20:The inside and outside ginseng demarcation of camera two-by-two;S30:The inside and outside ginseng demarcation of polyphaser under unified reference camera coordinate system;S40:Specify the inside and outside ginseng demarcation of polyphaser under world coordinate system.Calibration tool makes simply used in the method for the present invention, and need not limit demarcation thing and be moved in the public view field of all cameras, workable;The method of the present invention makes more picture points participate in computing, algorithm robustness is more preferable using the polyphaser cascade path that visual field relation determines altogether.

Description

Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things
Technical field
The invention belongs to computer vision and the technical field of camera calibration, and in particular to one kind is based on 3 points of demarcation things The inside and outside ginseng scaling method of polyphaser.
Background technology
Camera calibration technology recovers camera inside and outside parameter using the two dimensional image for demarcating object, and then reconstructs scene Three-dimensional information, it is the committed step of computer vision field, is the precondition of view-based access control model sensor application of aspects, in work The fields such as industry, space flight, cultural creative have extensive use.
In recent years, flourishing with virtual reality, the visual angle of single camera can not meet people to a wide range of three-dimensional The expectation in space, polyphaser combination and demarcation are increasingly becoming new study hotspot.However, existing polyphaser scaling method, past Toward requiring that demarcation thing moves in the public view field of all cameras simultaneously, add the difficulty of practical operation, and stated accuracy compared with It is low.
Therefore, how by conveniently operating, while the high-precision inside and outside parameter of polyphaser is obtained, is current urgency Need to solve the problems, such as.
The content of the invention
For above-mentioned technical problem present in prior art, the present invention provides a kind of polyphaser based on 3 points of demarcation things Inside and outside ginseng scaling method.
In order to solve the above technical problems, the technical solution adopted by the present invention is:
Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things, comprise the following steps:
S10:Picture point data acquisition;
S20:The inside and outside ginseng demarcation of camera two-by-two;
S30:The inside and outside ginseng demarcation of polyphaser under unified reference camera coordinate system;
S40:Specify the inside and outside ginseng demarcation of polyphaser under world coordinate system.
Preferably, calibration tool includes the T-shaped fixed pole with three conllinear infrared reflecting points that can move freely, and attached The L-type rigid body for being used to indicate world coordinate system of some infrared reflecting points.
Step S10 includes:
S11:In scene is demarcated, the T-shaped fixed pole of mark equipped with three conllinear infrared reflecting points is freely brandished, controls multiple phases Machine synchronous acquisition data of calibration point;
S12:L-type right angle rigid body is placed on demarcation scene center, controls multiple camera synchronous acquisition rigid body data.
Preferably, step S20 includes:
S21:Distortion is handled, and according to distortion factor and the physical size of unit pixel, using distortion model, it is abnormal to obtain removal The coordinate of true picture point after change;
S22:Effective focal length is solved, two image coordinate system origin translations to principal point are obtained substantially using 8 methods of normalization Matrix and limit, fundamental matrix is simplified according to Hartley self-calibrating methods and the pixel unit focal length of camera is obtained in decomposition;
S23:Outer ginseng is solved, basis matrix is normalized solution essential matrix using intrinsic parameter, passes through singular value point Solution obtains ginseng (R, t) outside four groups, and calibration point is reconstructed first with trigonometry, is located in front of video camera (i.e. Z seats based on demarcation thing Mark is permanent just) principle, filter out one group correct (R, t);
S24:Inside and outside ginseng optimization, with the minimum optimization aim of picture point epipolar distance error sum, uses L-M nonlinear optimizations Algorithm carries out nonlinear optimization to demarcating gained inside and outside parameter two-by-two.
Preferably, step S30 includes:
S31:Establish multicamera system non-directed graph;
S32:Reference camera is determined to the optimal cascade path of any camera, it is No. 0 ginseng to select the camera that viewpoint is most altogether Examine camera, using Dijkstra methods calculate No. 0 camera to any kth camera institute through side right weigh sum minimum path;
S33:Assuming that the optimal cascade path of kth camera is 0 to i again to k, by demarcating the try to achieve No. 0 to i-th two-by-two The outer parameter of number camera is (R0i, t0i), the outer ginseng of No. i-th to kth camera is (Rik, tik), then No. 0 arrive kth number outer ginseng For (RikR0i, Rikt0i+tik);
S34:Repeat step S33, the outer parameter of the relatively uniform reference camera of all cameras is obtained, is reconstructed using trigonometry Calibration point, to minimize re-projection error as optimization aim, algorithm is bundled to all inside and outside ginseng global optimizations using BA.
Preferably, step S40 includes:
S41:Determine the matching relationship that L-type rigid body is imaged in different cameral:Camera extrinsic according to trying to achieve can determine that two regard The basis matrix of figure, is constrained using Epipolar geometry, obtains matching picture point;
S42:Using least square triangulation method, coordinate of the L-type rigid body under reference camera coordinate system is reconstructed;
S43:Coordinate of the L-type rigid body in the case where specifying world coordinate system is set, world coordinates is obtained using kneipPnP algorithms To the rotation and translation of reference camera coordinate system;
S44:Obtain the inside and outside parameter of all cameras under world coordinate system.
Compared with prior art, the beneficial effect of scaling method is joined inside and outside the polyphaser of the invention based on 3 points of demarcation things It is:
1st, calibration tool used in method of the invention makes simple, and need not limit demarcation thing in the public of all cameras Moved in visual field, it is workable.
2nd, method of the invention makes more picture points participate in fortune using the polyphaser cascade path that visual field relation determines altogether Calculate, algorithm robustness is more preferable.
3rd, method of the invention can reach the other re-projection error of sub-pixel by multistep optimization calibrating parameters, complete Full up sufficient requirements for high precision.
Brief description of the drawings
Fig. 1 is the flow chart for joining scaling method inside and outside the polyphaser based on 3 points of demarcation things of the present invention;
Fig. 2 is to join the demarcate bar in scaling method in calibration tool inside and outside the polyphaser based on 3 points of demarcation things of the present invention Structural representation;
Fig. 3 is to join the L rigid bodies in scaling method in calibration tool inside and outside the polyphaser based on 3 points of demarcation things of the present invention Structural representation;
Fig. 4 is to join the structural representation that scene is demarcated in scaling method inside and outside the polyphaser based on 3 points of demarcation things of the present invention Figure;
Fig. 5 is to join polyphaser non-directed graph in scaling method inside and outside the polyphaser based on 3 points of demarcation things of the present invention.
Embodiment
To make those skilled in the art be better understood from technical scheme, below in conjunction with the accompanying drawings and specific embodiment party Formula elaborates to the present invention.
As shown in Fig. 1 to 5, the preferred embodiments of the present invention provide joins inside and outside a kind of polyphaser based on 3 points of demarcation things Scaling method, this method comprise the following steps:
S10:Picture point data acquisition.Step S10 is specifically included:
S11, in demarcation scene as shown in Figure 4, the T-shaped demarcate bar equipped with three conllinear infrared reflecting points is freely brandished, Control multiple camera synchronous acquisition data of calibration point;
S12, L-type rigid body known to the length of side is placed on place center, controls multiple camera synchronous acquisition rigid body data.
S20:The inside and outside ginseng demarcation of camera two-by-two.Step S20 is specifically included:
S21, distortion processing:The physical size of distortion factor and unit pixel in camera specification, utilizes distortion Model, obtain the coordinate of true picture point after removal distortion.
S22, solve effective focal length:By two image coordinate system origin translations to principal point, obtained substantially using 8 methods of normalization Matrix and limit, fundamental matrix is simplified according to Hartley self-calibrating methods and the pixel unit focal length of camera is obtained in decomposition.
S23, solve outer join:Basis matrix is normalized using above-mentioned gained intrinsic parameter and tries to achieve essential matrix, is passed through Singular value decomposition obtains ginseng (R, t) outside four groups, and calibration point is reconstructed first with trigonometry, and shooting is necessarily located at based on demarcation thing The principle of (i.e. Z coordinate perseverance just), is filtered out one group correct (R, t) in front of machine.Now translation vector differs one with true translation Individual scale factor, the scale factor can be recovered using the length for the L-type rigid body rebuild.
S24, inside and outside ginseng optimization:With the minimum optimization aim of picture point epipolar distance error sum, using L-M algorithms to two-by-two Demarcation gained inside and outside parameter carries out nonlinear optimization.
S30:The inside and outside ginseng demarcation of polyphaser under unified reference camera coordinate system.Step S30 is specifically included:
S31, establish multicamera system non-directed graph as shown in Figure 5:Vertex representation camera, if there is m to regard altogether between two cameras Point, then corresponding two summits Jian You sides, the weight on side is 1/m.
S32, determine reference camera to the optimal cascade path of any camera:The most camera of viewpoint is No. 0 ginseng altogether for selection Examine camera, using Dijkstra methods calculate No. 0 camera to any kth camera institute through side right weight sum minimum path, as The optimal cascade path of kth camera.
S33, it is assumed that the optimal cascade path of kth camera is 0 → i → k, by demarcating the try to achieve No. 0 two-by-two to No. i-th The outer parameter of camera is (R0i, t0i), the outer ginseng of No. i-th to kth camera is (Rik, tik), then the outer ginseng of No. 0 to kth number is (RikR0i, Rikt0i+tik)。
S34, repeat step S33, obtain so camera reconstructs demarcation with respect to the outer parameter of reference camera using trigonometry Point, to minimize re-projection error as optimization aim, algorithm is bundled to all inside and outside ginseng global optimizations using BA.Further improve Stated accuracy.
S40:Specify the inside and outside ginseng demarcation of polyphaser under world coordinate system.Step S40 is specifically included:
S41, determine the matching relationship that L-type rigid body is imaged in different cameral:It can determine that according to the above-mentioned Camera extrinsic tried to achieve The basis matrix of two views, is constrained using Epipolar geometry, obtains matching picture point.
S42, using least square triangulation method, reconstruct coordinate of the L-type rigid body under reference camera coordinate system.
S43, coordinate of the setting L-type rigid body in the case where specifying world coordinate system, world coordinates is obtained using kneipPnP algorithms To the rotation and translation of reference camera coordinate system.
S44, it is identical with step S43 principles, obtain the inside and outside parameter of all cameras under world coordinate system.
Above example is only the exemplary embodiment of the present invention, is not used in the limitation present invention, protection scope of the present invention It is defined by the claims.Those skilled in the art can make respectively in the essence and protection domain of the present invention to the present invention Kind modification or equivalent substitution, this modification or equivalent substitution also should be regarded as being within the scope of the present invention.

Claims (5)

1. join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things, it is characterised in that comprise the following steps:
S10:Picture point data acquisition;
S20:The inside and outside ginseng demarcation of camera two-by-two;
S30:The inside and outside ginseng demarcation of polyphaser under unified reference camera coordinate system;
S40:Specify the inside and outside ginseng demarcation of polyphaser under world coordinate system.
2. join scaling method inside and outside the polyphaser according to claim 1 based on 3 points of demarcation things, it is characterised in that demarcation Instrument includes the T-shaped demarcate bar with three conllinear infrared reflecting points that can move freely, and some infrared reflectings of attachment The L-type rigid body for being used to indicate world coordinate system of point.
Step S10 includes:
S11:In scene is demarcated, the T-shaped demarcate bar equipped with three conllinear infrared reflecting points is freely brandished, controls multiple cameras same Step collection data of calibration point;
S12:L-type right angle rigid body is placed on demarcation scene center, controls multiple camera synchronous acquisition rigid body data.
3. join scaling method inside and outside the polyphaser according to claim 2 based on 3 points of demarcation things, it is characterised in that step S20 includes:
S21:Distortion is handled, and according to distortion factor and the physical size of unit pixel, using distortion model, is obtained after removing distortion True picture point coordinate;
S22:Effective focal length is solved, by two image coordinate system origin translations to principal point, fundamental matrix is obtained using 8 methods of normalization And limit, fundamental matrix is simplified according to Hartley self-calibrating methods and the pixel unit focal length of camera is obtained in decomposition;
S23:Outer ginseng is solved, solution essential matrix is normalized to basis matrix using intrinsic parameter, is obtained by singular value decomposition Ginseng (R, t), calibration point is reconstructed first with trigonometry outside to four groups, is located in front of video camera (i.e. Z coordinate perseverance based on demarcation thing Principle just), filter out one group correct (R, t);
S24:Inside and outside ginseng optimization, with the minimum optimization aim of picture point epipolar distance error sum, uses L-M nonlinear optimization algorithms Nonlinear optimization is carried out to demarcating gained inside and outside parameter two-by-two.
4. join scaling method inside and outside the polyphaser according to claim 3 based on 3 points of demarcation things, it is characterised in that step S30 includes:
S31:Establish multicamera system non-directed graph;
S32:Determine that reference camera to the optimal cascade path of any camera, selects the camera that viewpoint is most altogether to refer to phase for No. 0 Machine, using Dijkstra methods calculate No. 0 camera to any kth camera institute through side right weigh sum minimum path;
S33:Assuming that the optimal cascade path of kth camera is 0 to i again to k, by demarcating the try to achieve No. 0 two-by-two to No. i-th phase The outer parameter of machine is (R0i, t0i), the outer ginseng of No. i-th to kth camera is (Rik, tik), then the outer ginseng of No. 0 to kth number is (RikR0i, Rikt0i+tik);
S34:Repeat step S33, obtains the outer parameter of the relatively uniform reference camera of all cameras, and demarcation is reconstructed using trigonometry Point, to minimize re-projection error as optimization aim, algorithm is bundled to all inside and outside ginseng global optimizations using BA.
5. join scaling method inside and outside the polyphaser according to claim 4 based on 3 points of demarcation things, it is characterised in that step S40 includes:
S41:Determine the matching relationship that L-type rigid body is imaged in different cameral:Camera extrinsic according to trying to achieve can determine that two views Basis matrix, constrained using Epipolar geometry, obtain matching picture point;
S42:Using least square triangulation method, coordinate of the L-type rigid body under reference camera coordinate system is reconstructed;
S43:Coordinate of the L-type rigid body in the case where specifying world coordinate system is set, world coordinates is obtained to ginseng using kneipPnP algorithms Examine the rotation and translation of camera coordinates system;
S44:Obtain the inside and outside parameter of all cameras under world coordinate system.
CN201710564438.6A 2017-07-12 2017-07-12 Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things Pending CN107358633A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710564438.6A CN107358633A (en) 2017-07-12 2017-07-12 Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710564438.6A CN107358633A (en) 2017-07-12 2017-07-12 Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things

Publications (1)

Publication Number Publication Date
CN107358633A true CN107358633A (en) 2017-11-17

Family

ID=60293523

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710564438.6A Pending CN107358633A (en) 2017-07-12 2017-07-12 Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things

Country Status (1)

Country Link
CN (1) CN107358633A (en)

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108288291A (en) * 2018-06-07 2018-07-17 北京轻威科技有限责任公司 Polyphaser calibration based on single-point calibration object
CN108388341A (en) * 2018-02-11 2018-08-10 苏州笛卡测试技术有限公司 A kind of man-machine interactive system and device based on thermal camera-visible light projector
CN108762527A (en) * 2018-05-23 2018-11-06 重庆创通联达智能技术有限公司 A kind of recognition positioning method and device
CN108881898A (en) * 2018-06-07 2018-11-23 歌尔股份有限公司 The test method of depth of field mould group nonlinear calibration
CN108981690A (en) * 2018-06-07 2018-12-11 北京轻威科技有限责任公司 A kind of light is used to fusion and positioning method, equipment and system
CN110303497A (en) * 2019-06-26 2019-10-08 上海一芯智能科技有限公司 Smart card acquisition methods and system, storage medium based on two-dimensional camera
CN111080709A (en) * 2019-11-22 2020-04-28 大连理工大学 Multispectral stereo camera self-calibration algorithm based on trajectory feature registration
CN112102417A (en) * 2020-09-15 2020-12-18 北京百度网讯科技有限公司 Method and device for determining world coordinates and external reference calibration method for vehicle-road cooperative roadside camera
CN112233189A (en) * 2020-12-14 2021-01-15 深圳普罗米修斯视觉技术有限公司 Multi-depth camera external parameter calibration method and device and storage medium
WO2021129305A1 (en) * 2019-12-26 2021-07-01 深圳市瑞立视多媒体科技有限公司 Calibration rod testing method for optical motion capture system, device, apparatus, and storage medium
WO2021129791A1 (en) * 2019-12-27 2021-07-01 深圳市瑞立视多媒体科技有限公司 Multi-camera calibration method in large-space environment based on optical motion capture, and related device
CN113446933A (en) * 2021-05-19 2021-09-28 浙江大华技术股份有限公司 External parameter calibration method, device and system for multiple three-dimensional sensors
WO2021196108A1 (en) * 2020-04-02 2021-10-07 深圳市瑞立视多媒体科技有限公司 Method and apparatus for calibrating while field sweeping in large space environment, and device and storage medium
CN113658269A (en) * 2021-08-06 2021-11-16 湖南视比特机器人有限公司 High-precision multi-camera combined calibration method and system for large-size workpiece measurement
CN114283203A (en) * 2021-12-08 2022-04-05 凌云光技术股份有限公司 Calibration method and system of multi-camera system
CN114399554A (en) * 2021-12-08 2022-04-26 凌云光技术股份有限公司 Calibration method and system of multi-camera system
CN114578328A (en) * 2022-02-24 2022-06-03 苏州驾驶宝智能科技有限公司 Automatic calibration method for spatial positions of multiple laser radars and multiple camera sensors
CN114581532A (en) * 2019-10-09 2022-06-03 阿波罗智能技术(北京)有限公司 Multi-phase external parameter combined calibration method, device, equipment and medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102789644A (en) * 2012-07-18 2012-11-21 兰州大学 Novel camera calibration method based on two crossed straight lines
CN103679693A (en) * 2013-01-25 2014-03-26 杭州先临三维科技股份有限公司 Multi-camera single-view calibration device and calibration method thereof
CN104036518A (en) * 2014-07-02 2014-09-10 北京理工大学 Camera calibration method based on vector method and three collinear points
US20140300736A1 (en) * 2013-04-09 2014-10-09 Microsoft Corporation Multi-sensor camera recalibration
CN104766291A (en) * 2014-01-02 2015-07-08 株式会社理光 Method and system for calibrating multiple cameras
US20150371385A1 (en) * 2013-12-10 2015-12-24 Tsinghua University Method and system for calibrating surveillance cameras

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102789644A (en) * 2012-07-18 2012-11-21 兰州大学 Novel camera calibration method based on two crossed straight lines
CN103679693A (en) * 2013-01-25 2014-03-26 杭州先临三维科技股份有限公司 Multi-camera single-view calibration device and calibration method thereof
US20140300736A1 (en) * 2013-04-09 2014-10-09 Microsoft Corporation Multi-sensor camera recalibration
US20150371385A1 (en) * 2013-12-10 2015-12-24 Tsinghua University Method and system for calibrating surveillance cameras
CN104766291A (en) * 2014-01-02 2015-07-08 株式会社理光 Method and system for calibrating multiple cameras
CN104036518A (en) * 2014-07-02 2014-09-10 北京理工大学 Camera calibration method based on vector method and three collinear points

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
付强等: "基于自由运动一维标定物的多摄像机参数标定方法与实验", 《控制理论与应用》 *
付强等: "基于自由运动一维标定物的多摄像机标定", 《第30届中国控制会议》 *

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108388341A (en) * 2018-02-11 2018-08-10 苏州笛卡测试技术有限公司 A kind of man-machine interactive system and device based on thermal camera-visible light projector
CN108762527A (en) * 2018-05-23 2018-11-06 重庆创通联达智能技术有限公司 A kind of recognition positioning method and device
CN108881898A (en) * 2018-06-07 2018-11-23 歌尔股份有限公司 The test method of depth of field mould group nonlinear calibration
CN108981690A (en) * 2018-06-07 2018-12-11 北京轻威科技有限责任公司 A kind of light is used to fusion and positioning method, equipment and system
CN108288291A (en) * 2018-06-07 2018-07-17 北京轻威科技有限责任公司 Polyphaser calibration based on single-point calibration object
CN110303497A (en) * 2019-06-26 2019-10-08 上海一芯智能科技有限公司 Smart card acquisition methods and system, storage medium based on two-dimensional camera
CN110303497B (en) * 2019-06-26 2023-02-17 上海一芯智能科技有限公司 Smart card acquisition method and system based on two-dimensional camera and storage medium
CN114581532A (en) * 2019-10-09 2022-06-03 阿波罗智能技术(北京)有限公司 Multi-phase external parameter combined calibration method, device, equipment and medium
CN111080709A (en) * 2019-11-22 2020-04-28 大连理工大学 Multispectral stereo camera self-calibration algorithm based on trajectory feature registration
CN111080709B (en) * 2019-11-22 2023-05-05 大连理工大学 Self-calibration Algorithm for Multispectral Stereo Camera Based on Trajectory Feature Registration
WO2021129305A1 (en) * 2019-12-26 2021-07-01 深圳市瑞立视多媒体科技有限公司 Calibration rod testing method for optical motion capture system, device, apparatus, and storage medium
WO2021129791A1 (en) * 2019-12-27 2021-07-01 深圳市瑞立视多媒体科技有限公司 Multi-camera calibration method in large-space environment based on optical motion capture, and related device
WO2021196108A1 (en) * 2020-04-02 2021-10-07 深圳市瑞立视多媒体科技有限公司 Method and apparatus for calibrating while field sweeping in large space environment, and device and storage medium
CN112102417A (en) * 2020-09-15 2020-12-18 北京百度网讯科技有限公司 Method and device for determining world coordinates and external reference calibration method for vehicle-road cooperative roadside camera
CN112102417B (en) * 2020-09-15 2024-04-19 阿波罗智联(北京)科技有限公司 Method and device for determining world coordinates
CN112233189A (en) * 2020-12-14 2021-01-15 深圳普罗米修斯视觉技术有限公司 Multi-depth camera external parameter calibration method and device and storage medium
CN113446933A (en) * 2021-05-19 2021-09-28 浙江大华技术股份有限公司 External parameter calibration method, device and system for multiple three-dimensional sensors
CN113658269A (en) * 2021-08-06 2021-11-16 湖南视比特机器人有限公司 High-precision multi-camera combined calibration method and system for large-size workpiece measurement
CN113658269B (en) * 2021-08-06 2023-10-13 湖南视比特机器人有限公司 High-precision multi-camera combined calibration method and system for large-size workpiece measurement
CN114283203A (en) * 2021-12-08 2022-04-05 凌云光技术股份有限公司 Calibration method and system of multi-camera system
CN114399554A (en) * 2021-12-08 2022-04-26 凌云光技术股份有限公司 Calibration method and system of multi-camera system
CN114283203B (en) * 2021-12-08 2023-11-21 北京元客方舟科技有限公司 Calibration method and system of multi-camera system
CN114399554B (en) * 2021-12-08 2024-05-03 北京元客视界科技有限公司 Calibration method and system of multi-camera system
CN114578328A (en) * 2022-02-24 2022-06-03 苏州驾驶宝智能科技有限公司 Automatic calibration method for spatial positions of multiple laser radars and multiple camera sensors

Similar Documents

Publication Publication Date Title
CN107358633A (en) Join scaling method inside and outside a kind of polyphaser based on 3 points of demarcation things
CN103106688B (en) Based on the indoor method for reconstructing three-dimensional scene of double-deck method for registering
Tanskanen et al. Live metric 3D reconstruction on mobile phones
CN103337094B (en) A kind of method of applying binocular camera and realizing motion three-dimensional reconstruction
Song et al. Survey on camera calibration technique
CN108288294A (en) A kind of outer ginseng scaling method of a 3D phases group of planes
WO2021004416A1 (en) Method and apparatus for establishing beacon map on basis of visual beacons
CN108288291A (en) Polyphaser calibration based on single-point calibration object
CN100417231C (en) Stereo vision hardware-in-the-loop simulation system and method
CN111127524A (en) Method, system and device for tracking trajectory and reconstructing three-dimensional image
CN108288292A (en) A kind of three-dimensional rebuilding method, device and equipment
CN106295512B (en) Vision data base construction method and indoor orientation method in more correction lines room based on mark
CN104075688A (en) Distance measurement method of binocular stereoscopic gazing monitoring system
CN105005964B (en) Geographic scenes panorama sketch rapid generation based on video sequence image
CN110874854B (en) Camera binocular photogrammetry method based on small baseline condition
CN102693543B (en) Method for automatically calibrating Pan-Tilt-Zoom in outdoor environments
CN110345921A (en) Stereoscopic fields of view vision measurement and vertical axial aberration and axial aberration bearing calibration and system
CN105466397B (en) Multiple dimensioned dual-axis rotation laser image three-dimensional reconfiguration system and its method
Xu et al. Hand-held 3-D reconstruction of large-scale scene with kinect sensors based on surfel and video sequences
CN106651957B (en) Monocular vision object space localization method based on template
CN113450416B (en) TCSC method applied to three-dimensional calibration of three-dimensional camera
Ruchay et al. Accurate reconstruction of the 3D indoor environment map with a RGB-D camera based on multiple ICP
Laganière et al. Robust object pose estimation from feature-based stereo
CN113763480B (en) Combined calibration method for multi-lens panoramic camera
CN110514114A (en) A method for calibrating the spatial position of tiny targets based on binocular vision

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20171117

RJ01 Rejection of invention patent application after publication