Dynamic programming algorithm for stereo correspondence of contour

Stereo correspondence is one of the most promising research areas in stereo vision. In order to solve the problem that there are large areas of similar gray-scale region and the time-consuming of the dense reconstruction, the contour of stereo pairs was extracted to reconstruct the scene. To reduce the noise which may lead to incorrect results during the stereo matching, a stereo matching algorithm based on the dynamic programming is proposed in the paper. Based on the reasonable and commonly assumption that the disparity of the scene is always smooth, the stereo matching algorithm puts a restraint on the disparity map and applies the dynamic algorithm on the disparity space image (DSI) to obtain the optimal disparity of the contour. Since the sum of points needed to be computed is greatly reduced, the algorithm could implement the stereo correspondence with high speed and matching rate than dense reconstruction could.