A Segment-Based Dense Stereo Matching Algorithm

摘要：

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 dont 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.

关键词： stereo matching color segmentation mean shift image image segmentation computer vision

作者: Lixin Zhang Dong Yang Zhengguang Xu

作者单位: National Center for Materials Service Safety University of Science and Technology Beijing Beijing, C School of Information Engineering University of Science and Technology Beijing Beijing, China

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 574-578

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）