A modified M-SIFT algorithm for matching images with different viewing angle

In this paper, we propose an affine invariant image matching algorithm, which is based on the well-known SIFT algorithm. Firstly, we use MSER algorithm to detect affine invariant feature regions. Then covariance matrix of an image patch is used to transform anisotropic patches into isotropic patches by rotating and squeezing. Finally, the affine invariant key points on isotropic patches are detected by SIFT algorithm. Experiments show that M-SIFT works well with large affine angle changes and scale changes compared with SIFT algorithm.