Frontiers of Optoelectronics, 2015, 8 (3): 319, 网络出版: 2016-01-06
Lens distortion correction based on one chessboard pattern image
Lens distortion correction based on one chessboard pattern image
computer vision computer vision camera distortion camera distortion distortion correction distortion correction corner detection corner detection
摘要
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.
Abstract
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.
Yubin WU, Shixiong JIANG, Zhenkun XU, Song ZHU, Danhua CAO. Lens distortion correction based on one chessboard pattern image[J]. Frontiers of Optoelectronics, 2015, 8(3): 319. Yubin WU, Shixiong JIANG, Zhenkun XU, Song ZHU, Danhua CAO. Lens distortion correction based on one chessboard pattern image[J]. Frontiers of Optoelectronics, 2015, 8(3): 319.