In order to solve the problem that dynamic programming (DP) stereo algorithm is slow, a local‐global stereo matching algorithm is presented. In this method, local and global stereo algorithms are united to apply to the stereo vision field.
Local and DP stereo algorithms are used. Multi‐resolution images are obtained by pyramid algorithm and matching costs are gained by using eight‐stripe correlation window.
The time of disparity space image creation is greatly reduced because matching costs are computed by eight‐stripe window. Candidate ground control points (GCPs) are gained in the low‐resolution image. The total time of gaining GCPs is decreased in the extreme. Whole algorithm has a high matching‐rate and a fast speed.
The time of the whole algorithm is still a little bigger than local algorithm.
The findings can be used in the stereo vision system equipped with planet vehicle.
Local and global stereo algorithms are united to apply to the stereo vision field. Matching costs are gained by using eight‐stripe correlation window.
