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A Novel Camera Calibration Method Based on Polar Coordinate

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  • Shaoyan Gai
  • Feipeng Da
  • Xu Fang

Abstract

A novel calibration method based on polar coordinate is proposed. The world coordinates are expressed in the form of polar coordinates, which are converted to world coordinates in the calibration process. In the beginning, the calibration points are obtained in polar coordinates. By transformation between polar coordinates and rectangular coordinates, the points turn into form of rectangular coordinates. Then, the points are matched with the corresponding image coordinates. At last, the parameters are obtained by objective function optimization. By the proposed method, the relationships between objects and cameras are expressed in polar coordinates easily. It is suitable for multi-camera calibration. Cameras can be calibrated with fewer points. The calibration images can be positioned according to the location of cameras. The experiment results demonstrate that the proposed method is an efficient calibration method. By the method, cameras are calibrated conveniently with high accuracy.

Suggested Citation

  • Shaoyan Gai & Feipeng Da & Xu Fang, 2016. "A Novel Camera Calibration Method Based on Polar Coordinate," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.
    • Handle: RePEc:plo:pone00:0165487
    DOI: 10.1371/journal.pone.0165487
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    References listed on IDEAS

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    1. Jiachen Yang & Yancong Lin & Zhiqun Gao & Zhihan Lv & Wei Wei & Houbing Song, 2015. "Quality Index for Stereoscopic Images by Separately Evaluating Adding and Subtracting," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-19, December.
    2. Yong Chen & Rong hua Zhang & Lei Shang, 2014. "A Novel Method of Object Detection from a Moving Camera Based on Image Matching and Frame Coupling," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-6, October.
    3. Zhen Zhou & Jingfeng Huang & Jing Wang & Kangyu Zhang & Zhaomin Kuang & Shiquan Zhong & Xiaodong Song, 2015. "Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-16, November.
    4. Qiucheng Sun & Yueqian Hou & Qingchang Tan & Guannan Li, 2014. "A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-12, September.
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