Multi-camera calibration based on openCV and multi-view registration

Xiao-ming Deng; Xiong Wan; Zhi-min Zhang

doi:10.1117/12.863359

11 October 2010 Multi-camera calibration based on openCV and multi-view registration

Xiao-ming Deng, Xiong Wan, Zhi-min Zhang

Proceedings Volume 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 765624 (2010) https://doi.org/10.1117/12.863359
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

For multi-camera calibration systems, a method based on OpenCV and multi-view registration combining calibration algorithm is proposed. First of all, using a Zhang's calibration plate (8X8 chessboard diagram) and a number of cameras (with three industrial-grade CCD) to be 9 group images shooting from different angles, using OpenCV to calibrate the parameters fast in the camera. Secondly, based on the corresponding relationship between each camera view, the computation of the rotation matrix and translation matrix is formulated as a constrained optimization problem. According to the Kuhn-Tucker theorem and the properties on the derivative of the matrix-valued function, the formulae of rotation matrix and translation matrix are deduced by using singular value decomposition algorithm. Afterwards an iterative method is utilized to get the entire coordinate transformation of pair-wise views, thus the precise multi-view registration can be conveniently achieved and then can get the relative positions in them(the camera outside the parameters).Experimental results show that the method is practical in multi-camera calibration .

Citation Download Citation

Xiao-ming Deng, Xiong Wan, and Zhi-min Zhang "Multi-camera calibration based on openCV and multi-view registration", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 765624 (11 October 2010); https://doi.org/10.1117/12.863359

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