This paper proposes a detection method of
chessboard corner to correct camera distortions –including
radial distortion, decentering distortion and prism distor-
tion. 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 proce-
dure 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.

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• Lens distortion correction based on one chessboard pattern image