• Acta Optica Sinica
  • Vol. 32, Issue 1, 112005 (2012)
Yuan Guoqin1、2、*, Ding Yalin1, Hui Shouwen1, Liu Liguo1, and Yu Chunfeng1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/aos201232.0112005 Cite this Article Set citation alerts
    Yuan Guoqin, Ding Yalin, Hui Shouwen, Liu Liguo, Yu Chunfeng. Grouped Approach Algorithm for Mapping Camera Calibration Based on Method of Exact Measuring Angle[J]. Acta Optica Sinica, 2012, 32(1): 112005 Copy Citation Text show less

    Abstract

    Toward the problems of theoretical error and the distribution status of the observed which can influence on camera calibration accuracy, a grouped approach algorithm based on exact measuring angle method is proposed. The proposed algorithm is composed of two parts: the method of adjusting the zero point of precise rotating platform is put forward to reduce the theoretical error, and the method of weighted theory is used to approach group data processing to eliminate the influence on the calibration result. Finally, the accuracy of grouped approach algorithm is analyzed. Experimental results show that principal point accuracy and the principal distance accuracy obtained by the proposed algorithm are reduced to 2.12 μm and 4.02 μm and improved by 2.43 times and 2.00 times respectively, comparing with the traditional exact measuring angle method in the same laboratory environment. The experimental results indicate that the calibration accuracy has been improved greatly.
    Yuan Guoqin, Ding Yalin, Hui Shouwen, Liu Liguo, Yu Chunfeng. Grouped Approach Algorithm for Mapping Camera Calibration Based on Method of Exact Measuring Angle[J]. Acta Optica Sinica, 2012, 32(1): 112005
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