Lens distortion correction based on one chessboard pattern image

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• 作者：Yubin Wu ; Shixiong Jiang ; Zhenkun Xu ; Song Zhu ; Danhua Cao
• 关键词：computer vision ; camera distortion ; distortion correction ; corner detection
• 刊名：Frontiers of Optoelectronics in China
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：8
• 期：3
• 页码：319-328
• 全文大小：1,713 KB
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  11.Manolis L. Levenberg-Marquardt nonlinear least squares algorithms in C/C ++
  
• 作者单位：Yubin Wu (1)
  Shixiong Jiang (1)
  Zhenkun Xu (1)
  Song Zhu (1)
  Danhua Cao (1)
  
  1. School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, China
  
• 刊物类别：Engineering
• 刊物主题：Electronic and Computer Engineering
  Electromagnetism, Optics and Lasers
  Biomedical Engineering
  Chinese Library of Science
  
• 出版者：Higher Education Press, co-published with Springer-Verlag GmbH
• ISSN：2095-2767

文摘

This paper proposes a detection method of chessboard corner to correct camera distortions–including radial distortion, decentering distortion and prism distortion. This proposed method could achieve high corner detection rate. Then we used iterative procedure to optimize distortion parameter to minimize distortion residual. In this method, first, non-distortion points are evaluated by four points near image center; secondly, Levenberg-Marquardt nonlinear optimization algorithm was adopted to calculate distortion parameters, and then to correct image by these parameters; thirdly, we calculated corner points on the corrected image, and repeated previous two steps until distortion parameters converge. Results showed the proposed method by iterative procedure can make the impact of slight distortion around image center negligible and the average of distortion residual of one line is almost 0.3 pixels. Keywords computer vision camera distortion distortion correction corner detection