计算机工程与应用2016，Vol.52Issue(19)：208-212,5.DOI:10.3778/j.issn.1002-8331.1412-0291
基于快速视网膜关键点算法改进的图像匹配方法
Improved image matching based on fast retina keypoint algorithm
摘要
Abstract
Conventional Affine Scale Invariant Features(ASIFT)algorithm implements full affine invariance by simulating image with affine transformation. To solve the problem of time-consuming implements caused by low efficiency of SIFT algorithm and implement more efficient image matching, Fast Retina Keypoint(FREAK)is introduced to the affine model of ASIFT with improvements based on Lanczos-4 interpolation. With the implementation of Brute Force feature matching based on HAMMING distance and improvement of matching points pairs filtration combined with Random Sample Con-sensus(RANSAC), the new algorithm AFREAK is obtained, which implements full affine invariance with low consuming and memory usage. Experimental results show that the speed of proposed algorithm is almost 2 to 3 times faster than the original ASIFT algorithm with the similar matching effect.关键词
尺度不变特征(SIFT)/仿射尺度不变特征(ASIFT)/快速视网膜关键点算法(FREAK)/仿射不变/图像匹配Key words
Scale Invariant Features(SIFT)/Affine Scale Invariant Features(ASIFT)/Fast Retina Keypoint(FREAK)/affine invariance/image matching分类
信息技术与安全科学引用本文复制引用
付偲,邓丽,卢根,费敏锐..基于快速视网膜关键点算法改进的图像匹配方法[J].计算机工程与应用,2016,52(19):208-212,5.基金项目
上海市科委专项项目（No.14DZ1206302）；上海高校教师产学研践习计划；上海大学创新基金（No.K100109005）。 （）
