Abstract
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.
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