Research on improved SURF feature point matching algorithm

Aiming at the limitations of the traditional SURF algorithm in the prior art, which has a high mis-matching rate and insufficient accuracy in image matching, an improved algorithm based on the SURF algorithm is proposed. Firstly, on the basis of the traditional SURF algorithm, the initial correspondence is constructed by combining the two-way matching algorithm, then the feature vector cosine constraint mechanism is used to optimize the initial matching pair, and finally the random sampling consistent algorithm is used to optimize the geometric consistency of the matching pair. The experimental results show that the improved algorithm not only improves the matching accuracy, but also demonstrates stronger robustness.