Scale Invariant Control Points Based Stereo Matching for Dynamic Programming

摘要：

A stereo matching algorithm based on scale invariant control points is proposed for dynamic programming. Firstly,for the problem of large amount of calculation on SIFT feature extraction algorithm,the stable feature points are extracted from left and right image respectively and described by improved sIFT algorithm. Secondly,basing on the description of feature points,the kd-tree nearest neighbor search algorithm is adopted to match feature points,and then these matched feature points are looked as true matching points. Finally,the whole matching process is finished by using the true matching points as the control points. The experimental results show the method can alleviate the effect of horizontal streaks caused by traditional dynamic programming algorithm and the experimental matching results are satisfactory.

关键词： scale invariant control point dynamic programming kd-tree stereo matching.

作者: Kunpeng Li Sunan Wang Mingxin Yuan Naijian Chen

作者单位: School of Mechanical Engineering,Xian Jiaotong University Xian 710049,Shaanxi Province,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2897-2902

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）