期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：4
页码：389-398
DOI：10.14257/ijsip.2014.7.4.37
出版社：SERSC
摘要：SIFT (Scale invariant feature transform) descriptor is one of the most effective local features that is used for scale, rotation and illumination invariant of automatic image registration. In this paper a fast bi-directional matching algorithm based on SIFT was proposed for improving match accuracy and reducing match time . Firstly the single-feature points and multi-feature points in two images were extracted, and then matched all these feature points respectively by using the BBF (Best Bin First)-based bi-directional matching algorithm. The integrated matching correspondences were the final matches. The experimental results showed that the proposed algorithm can reduce mismatch probability and decrease the matching time.
关键词：Invariant Features; SIFT; fast bi-directional match; BBF
