A Segment-Based Dense Stereo Matching Algorithm

This paper presents a new segment-based dense stereo matching algorithm. Firstly, the reference view and matching view are over segmented using mean-shift segmentation method. A new region-based approach is proposed to obtain the initial disparity maps of the two views. Then, we filter out the unreliable matching points by left-right consistency checking technique. An improved greedy search algorithm is used to propagate the reliable disparity to the segments which don´t have reliable disparity. Finally, refine the disparity map in coarse regions. Experimental results on the standard test images show that our stereo matching algorithm gives a good performance.