Semiautomatic calibration of the general camera model for stereovision
Eric Sung, Harcharan Singh, Daniel H. Tan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
This paper presents a semi—automatic method to calibrate a three—camera stereovision set-up accurately and simply. The algorithm handles both initial calibration and on—line self—calibration and assumes the availability of a reliable set of matched image points. No 3—D world coordinate control points are available to confirm the validity of the self—calibration. A new general algorithm is introduced based on the minimum distance measure which provides the necessary criterion to make self— calibration possible. Convergence is obtained for small changes in camera parameter by optimization of the minimum distances over the 22 parametric space. Ill—conditioning problem is solved by a partitioning method. Comparisons with SYD approach are made. Synthetic tests were performed and the method proposed gave satisfactory results.