海军航空工程学院学报2016，Vol.31Issue(5)：513-517,560,6.DOI:10.7682/j.issn.1673-1522.2016.05.003
基于RVCF的大视角差异图像匹配方法
A Modified RVCF Algorithm for Matching Images with Different Viewing Angle
摘要
Abstract
In order to solve the problem of invalidation of SIFT algorithm when viewpoints had been changed with large af⁃fine angle, in this paper a M-SIFT algorithm that the RVCF was proposed. Firstly, the algorithm detected affine invariant feature regions by MSER algorithm. Then covariance matrix was used to transform anisotropic patches into isotropic patch⁃es by rotating and squeezing to meet the condition of scale-space theory. Finally, the affine invariant key points on isotro⁃pic patches were detected and matching using SIFT algorithm. Experiments showed that RVCF worked well with large af⁃fine angle changes and scale changes.关键词
尺度不变特征变换/最大稳定极值区域/图像匹配/大视角差异Key words
SIFT/MSER/image matching/viewing angle difference分类
计算机与自动化引用本文复制引用
胡文超,周伟,关键..基于RVCF的大视角差异图像匹配方法[J].海军航空工程学院学报,2016,31(5):513-517,560,6.基金项目
国家自然科学基金资助项目（61179017，61201445，61002045，61302008）；“泰山学者”建设工程专项经费资助项目 （）
