Features Extraction and Matching of Binocular Image Based on SIFT Algorithm

This paper introduces a method of binocular images of feature extraction and matching. Shooting images in a variety of conditions in the laboratory describe feature points with multidimensional eigenvector descriptors and matched with minimum Euclidean distance in MATLAB. According to the experimental results, analyzing the effect of SIFT threshold and resolution on the results. The result shows that the method of binocular image of feature extraction and matching has the advantages of high matching success rate and short matching time