Flexible multicamera calibration method with a rotating calibration plate

被引：12

作者：

Cai, Huajun ^{[1
]}

Song, Yang ^{[1
]}

Shi, Yuqing ^{[1
]}

Cao, Zheng ^{[1
]}

Guo, Zhenyan ^{[2
]}

Li, Zhenhua ^{[1
]}

He, Anzhi ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Informat Phys & Engn, Nanjing 210094, Peoples R China

[2] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China

来源：

OPTICS EXPRESS | 2020年 / 28卷 / 21期

基金：

中国国家自然科学基金;

关键词：

SELF-CALIBRATION; CAMERA CALIBRATION; TRANSFORMATION;

D O I：

10.1364/OE.402761

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Camera calibration is necessary for accurate image measurements, particularly in multicamera systems. The calibration process involves corresponding the coordinates of 3D calibration points with a 2D image and requires the establishment of a reliable 3D world coordinate system. This paper presents a convenient multicamera calibration method that uses a rotating calibration plate and multi-view stereo vision to calculate 3D points and their relationship with the image coordinates. Despite simple implementation, the rotation of the calibration plate presents numerous calibration points from various planes, increasing the stability of the solution and the noise reduction. The relocation accuracy and reprojection error are experimentally verified. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

引用

页码：31397 / 31413

页数：17

共 26 条

[1] Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry [J].

Abdel-Aziz, Y. I. ;

Karara, H. M. .

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2015, 81 (02) :103-107

[2]

Brown D., 1996, Photogram Eng, V32, P444, DOI DOI 10.1234/12345678

[3]

FAIG W, 1975, PHOTOGRAMM ENG REM S, V41, P1479

[4] Accurate calibration of a multi-camera system based on flat refractive geometry [J].

Feng, Mingchi ;

Huang, Shuai ;

Wang, Jingshu ;

Yang, Bin ;

Zheng, Taixiong .

APPLIED OPTICS, 2017, 56 (35) :9724-9734

[5] DECOMPOSITION OF TRANSFORMATION-MATRICES FOR ROBOT VISION [J].

GANAPATHY, S .

PATTERN RECOGNITION LETTERS, 1984, 2 (06) :401-412

[6] Instantaneous 3D flame imaging by background-oriented schlieren tomography [J].

Grauer, Samuel J. ;

Unterberger, Andreas ;

Rittler, Andreas ;

Daun, Kyle J. ;

Kempf, Andreas M. ;

Mohri, Khadijeh .

COMBUSTION AND FLAME, 2018, 196 :284-299

[7]

HARTLEY RI, 1994, 1994 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, P908

[8]

Isaguirre A., 1985, P INT C ROBOTICS AUT, P74, DOI DOI 10.1109/ROBOT.1985.1087321

[9] Hybrid algorithm for three-dimensional flame chemiluminescence tomography based on imaging overexposure compensation [J].

Jin, Ying ;

Song, Yang ;

Qu, Xiangju ;

Li, Zhenhua ;

Ji, Yunjing ;

He, Anzhi .

APPLIED OPTICS, 2016, 55 (22) :5917-5923

[10]

Kim K, 2006, LECT NOTES COMPUT SC, V3953, P98

← 1 2 3 →