Camera Calibration Method Based on OpenCV

Abstract

A new calibration method is proposed on the basic of OpenCV camera model and existing calibration method. The method can be accomplished in three concerted steps. Firstly, standardization homography matrix is obtained through camera linear model namely normalized the elements in lower right corner of the original matrix, then the intrinsic parameters matrix and external parameter initial value of camera can be calibrated through solving the statically indeterminate equations with the least square method. Secondly, concerning lens distortion, nonlinear model is obtained, and using intersection point coordinate of chess board and initial value of the first step, initial value of distortion parameters is given through the least square method. Finally, all the camera parameters will nonlinear optimized.

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“…In this work, the camera image is already rectified and the intrinsic parameters are accessible from the SDK of the camera. Otherwise intrinsic calibration can be performed by using function in OpenCV ( Qiao et al (2013) ) or another tool like MATLAB. The rotation matrix and translation vector with respect to the marker is calculated via extrinsic calibration.…”