基于透视不变二值特征描述子的图像匹配算法耿利川.pdf

36 4 Vol.36 No.4 2015 4 Journal on Communications April 2015 doi:10.11959/j.issn.1000-436x.2015086 1,2 1,2 1,2 (1. 361005 2. 361005) PIBC perspective invariant binary codeFAST Harris FAST SURF PIBC TP391.4 A Perspective invariant binary feature descriptor based image matching algorithm GENG Li-chuan1, 2, SU Song-zhi1, 2, LI Shao-zi1, 2 1. College of Information Science and Technology, Xiamen University, Xiamen 361005, China; 2. Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen 361005, China) Abstract: Current local feature based image matching algorithms are usually less robust to image perspective transfor- mation. Aiming to solve this problem, a new perspective invariant binary code (PIBC) based image matching algorithm is proposed. Firstly, FAST corners are detected on the pyramid images, those corners with non-maximum Harris corner re- sponse value and the edge points are further eliminated. And then, by simulating the perspective transformations of im- ages taken from different viewpoints, a single FAST corner is described with binary descriptors under different viewpoint transformations, which makes the descriptor could describe the identical feature point on different perspective transform images. Experimental results show its robustness to image perspective transformation, while its complexity is similar