One high-accuracy camera calibration algorithm based on  computer vision images

Ying Wang; Jianming Huang; Xiangquan Wei

doi:10.1117/12.2203672

14 December 2015 One high-accuracy camera calibration algorithm based on computer vision images

Ying Wang, Jianming Huang, Xiangquan Wei

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 98130T (2015) https://doi.org/10.1117/12.2203672
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Camera calibration is the first step of computer vision and one of the most active research fields nowadays. In order to improve the measurement precision, the internal parameters of the camera should be accurately calibrated. So one high-accuracy camera calibration algorithm is proposed based on the images of planar targets or tridimensional targets. By using the algorithm, the internal parameters of the camera are calibrated based on the existing planar target at the vision-based navigation experiment. The experimental results show that the accuracy of the proposed algorithm is obviously improved compared with the conventional linear algorithm, Tsai general algorithm, and Zhang Zhengyou calibration algorithm. The algorithm proposed by the article can satisfy the need of computer vision and provide reference for precise measurement of the relative position and attitude.

Citation Download Citation

Ying Wang, Jianming Huang, and Xiangquan Wei "One high-accuracy camera calibration algorithm based on computer vision images", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 98130T (14 December 2015); https://doi.org/10.1117/12.2203672

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