Volume 48 Issue 7
Jul.  2022
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PENG Yan, GUO Junbin, YU Chuanqiang, et al. Calibration method for high precision camera based on plane transformation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(7): 1297-1303. doi: 10.13700/j.bh.1001-5965.2021.0015(in Chinese)
Citation: PENG Yan, GUO Junbin, YU Chuanqiang, et al. Calibration method for high precision camera based on plane transformation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(7): 1297-1303. doi: 10.13700/j.bh.1001-5965.2021.0015(in Chinese)

Calibration method for high precision camera based on plane transformation

doi: 10.13700/j.bh.1001-5965.2021.0015
Funds:

National Natural Science Foundation of China 61501470

More Information
  • Corresponding author: GUO Junbin, E-mail: gjb_202@163.com
  • Received Date: 11 Jan 2021
  • Accepted Date: 09 Apr 2021
  • Publish Date: 19 Apr 2021
  • Traditional methods do not consider the existence of perspective deviation, and usually extract the center of the ellipse as the projection point of a real physical center, resulting in camera calibration errors. A calibration method for high precision cameras was proposed based on plane transformation. The corner points on the inner and outer borders of the calibration plate were extracted to carry out the plane transformation of the calibration plate, and the marked points were projected from ellipses into approximate standard circles. The coordinates of the center of the standard circle were extracted by image moments, and were projected back to the plane of the original calibration plate to obtain the pixel coordinates of the actual center of the marked points. According to the coordinates of the actual center of the circular markers, the Zhang Zhengyou calibration method was used to complete the camera calibration. Experimental results show that compared thus the traditional method, the proposed method reduced the camera calibration error by 66.169%, thus effectively improving the camera calibration accuracy.

     

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