%0 Journal Article
%A FU Cai1
%A 2
%A DENG Li1
%A 2
%A LU Gen1
%A 2
%A FEI Minrui1
%A 2
%T Improved image matching based on fast retina keypoint algorithm
%D 2016
%R
%J Computer Engineering and Applications
%P 208-212
%V 52
%N 19
%X 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 Consensus（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.
%U http://cea.ceaj.org/EN/abstract/article_34942.shtml