Enforcing Control Points of Correspondence by the Hausdorff Distance

摘要：

In this paper,a stereo correspondence algorithm based on gound control points (GCPs)is presented.First of all,a new scheme for determining GCPs is introduced,where the Hausorff distance is improved to find out the most possible and robust matches.With additional space information provided by the Hausdorff distance,the algorithm effectively eliminates outliers and mismatches of control points and provides sufficient candidates for global matching.Secondly by formulating the stereo matching as a global energy minimization problem,the optimization is achieved using belief propagation method. Experimental results show that our algorithm works well with different types of images and remarkably reduces the ambiguity of untextured regions.

关键词： Stereo correspondence the Hausdorff distance belief propagation.

作者: Lu Li Hong Zhang Ning Yao

作者单位: Image Processing Center, Beihang University,China Electrical &Computer Engineering Dept., University of Pittsburgh,USA

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1778-1782

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）