Improved SIFT Feature Matching Algorithm
Qing Dai · Jisuanji gongcheng · 2011
Aiming at the problems of large calculating scale and high complexity in Scale Invariant Feature Transform(SIFT) feature matching algorithm,this paper presents an improved SIFT feature matching algorithm based on image Radon transform.It makes d beelines on different directions in image SIFT feature point zone.Image Radon transform integral values on d beelines are adopted as SIFT feature vector descriptors,it reduces the dimensions of SIFT feature vector to improve the efficiency of feature matching.Experimental result proves that the improved algorithm has higher matching accuracy and needs less matching time,it is quite suitable for high real-time demanded system such as virtual space roaming and target identification.