A New Algorithm for Three-dimensional Construction Based on the Robot Binocular Stereo Vision System
3D vision location is one of the most famous researches in computer stereo vision area. However, the traditional algorithm is not only complicated but low-matched. We proposed a new algorithm in this article: First of all, we use Zhang Zhengyou camera calibration methods for vision calibration. Secondly, Epipolar constraint, NCC similarity measure and disparity gradient compatibility are individually used in different stages of sparse feature based stereo matching. The last, least squares space coplanar approximation is used to obtain the 3D coordinates of matching points. It has been proved not only operated easily but provided with high stability and robustness.
Robot binocular stereo vision Vision calibration Epipole constrain 3D vision location Stereo matching
Feng Zhao Zengru Jiang
Beijing Institute of Technology Beijing, China
国际会议
南昌
英文
662-665
2012-08-26（万方平台首次上网日期，不代表论文的发表时间）