The camera calibration approach of pipeline detecting robot
Camera calibration is a key technology in computer vision field. Many kinds of distortions are existed in ordinary CCD camera. Among these distortions the radial distortion is more serious. A camera self-calibration algorithm based on active vision taking account of one-degree radial distortion is proposed in this paper in order to make the calibration more quickly effective and accurate. Based on pinhole camera model, considered the camera lens distortion effects of radial and tangential distortion effect, it reduces the iterative times and avoids errors that come from decomposing parameters in linear calibration. The results show that the algorithm for high precision and with a certain degree of robustness, achieve fast and accurate calibration of vision cameras for weld inspection robot.
camera calibration radial distortion intrinsic parameters robot computer vision
Dehui Liu Gaohua Liao
Nanchang Institute of Technology Nanchang, China
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
877-880
2009-07-10（万方平台首次上网日期，不代表论文的发表时间）