A fast algorithm of image feature points matching based on SURF
Xiubin Gao · Journal of Yangzhou University · 2012
With the shortcomings of the large calculation amount and long time consuming in the conventional image feature matching algorithms,a fast algorithm based on SURF(speeded up robust features) for image matching is presented in this paper.Firstly,exact feature points using SURF algorithm are extracted.For each feature point,the dominant orientation is assigned by computing Haar wavelet responses,and then the descriptors are generated.The feature points are matched using the optimized nearest neighbor search algorithm(best bin first,BBF).Contrast experiment is carried out according to the actual need to select n most similar matchings.The results show that this algorithm meets the requirements of accuracy with a small amount of calculation and fast speed advantage.