摘要
提出了一种基于边缘特征点的分级立体匹配算法.其基本思想是,首先提取双目图像对的边缘特征点,然后对特征点的梯度不变性与奇异值特征不变性进行分析,建立基于不变量特征的二级匹配算法,求解基础矩阵.在基础矩阵的指导下,完成三级立体匹配.模拟结果表明,该算法能使匹配精度由58.3%提高到73.2%,而且算法简单、实用,对目标的识别、跟踪以及三维表面恢复与重建等均具有重要的价值.
A gradation stereo matching algorithm based on the edge feature points is proposed. Its basic idea is that, the edge feature points of a pair of images are first extracted, and then gradient invariability and singular eigenvalue invariability are analyzed, two-grade stereo matching method is build, foundation matrix is solved further, and three-grade stereo matching algorithm is finished by foundation matrix guidance. The result indicates that the algorithm can improve matching precision, from 58.3% to 73.2%, it is simple and utility, and it is important for object recognition, tracking, and three-dimension reconstruction.
出处
《陕西师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2009年第5期20-23,共4页
Journal of Shaanxi Normal University：Natural Science Edition
基金
中国博士后基金资助项目(080431401)
关键词
边缘特征点
立体匹配
梯度
奇异特征值
edge feature point
stereo matching
gradient
singular eigenvalue
