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A measure function is used to judge whether match in boost matching. In this paper, we offer a kind of new measure function called GST. We simply use the relationship between gray differences and threshold of the points of domain tests the matching degree. We use homography and GST to improve the number and precision of correspondences of SIFT matching. Firstly, homography is estimated using the result of SIFT matching by VRANSAC. Then, wrong correspondences are eliminated by homography. Finally, we use GST and homography to boost matching the wrong correspondences. Experiments with the Oxford datasets show that our method can get better performance than the existed methods.

Feature Points Matching Algorithm based on Homography Constraint and Gray Scale Truncation Number