Truncated Epipolar Line Matching Method Based on Image Rectification
We present an efficient method based on image rectification for achieving the feature correspondence between images. The method is comprehensible through a geometric analysis of two rectified views. An important constraint-Truncation Point-is found and largely reduces a search range than the conventional method. The classical normalized cross-correlation is then performed on this search range to locate the correspondence points and tracking is followed further. The experiment demonstrates the considerable improvements obtained by this method as well as the good feature tracking effect
matching image rectification epilolar line NCC
DiWu Naiguang Lu Peng Sun
Department of Electronic Information Engineering Shenyang Normal University Shenyang, China Department of Optical Information Science andTechnologyBeijing Information Science and Technology Un
国际会议
Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)
无锡
英文
198-201
2010-06-04(万方平台首次上网日期,不代表论文的发表时间)