Advanced algorithm based on SIFT and its application in binocular stereo vision

The SIFT(Scale Invariant Feature Transform)algorithm can not locate the object shape features accurately.To solve the problem,a stereo matching method based on both Harris corner and SIFT algorithm is proposed.The algorithm extracts image feature points using Harris operator and defines the main directions for each feature point.It calculates the 32-dimensional feature vectors of each feature point descriptor and uses Best Bin First(BBF)algorithm to calculate the Euclidean distance to match.The new algorithm reduces the SIFT algorithm's time complexity and improves the real-time performance.Experimental results of image matching in binocular stereo vision demonstrate that the new algorithm has better performance than previously reported in the literature.