Calibration method for the relative orientation between the rotation axis and a camera using constrained global optimization

被引:17
作者
Niu, Zhenqi [1 ]
Liu, Kuo [1 ]
Wang, Yuemin [1 ]
Huang, Shujun [1 ]
Deng, Xiaoting [1 ]
Zhang, Zonghua [1 ]
机构
[1] Hebei Univ Technol, Sch Mech Engn, Tianjin 300130, Peoples R China
基金
中国国家自然科学基金; 欧盟地平线“2020”;
关键词
rotation axis calibration; camera calibration; PCA (principal component analysis); constrained global optimization;
D O I
10.1088/1361-6501/aa5fd4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a novel method for calibrating the relative orientation of a camera fixed on a rotation axis using the constrained global optimization algorithm. Because the camera cannot directly 'see' the rotation axis, the calibration procedure uses two checkerboards and another camera with a large viewing-angle. One small checkerboard is rotated with the camera to determine the rotation axis; the other large checkerboard calibrates the relative orientation of the two cameras. The determined rotation axis and the obtained optical axis of the calibrated camera can be represented in the same camera coordinate system, so that we can calculate their relative orientation. In our experimental results, the mean squared error of the angle between the rotation axis and the optical axis of the calibrated camera was 0.027 degrees. Under the given conditions, the two checkerboards and the camera can be randomly placed. Therefore, the proposed calibration method is flexible, effective, and very accurate.
引用
收藏
页数:9
相关论文
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