Automatic image stitching using SIFT

Abstract

This paper concerns the problem of automatic image stitching which mainly applies to the image sequence even those including noise images. And it uses a method based on invariant features to realize fully automatic image stitching, in which it includes two main parts: image matching and image blending. As the noises images have large differences between the other images, when using SIFT features to realize correct and robust matching, it supplies a probabilistic model to verify the panorama image sequence. Addison to have a more satisfied panorama image, it uses a simple and fast blending method which is weighted average method. Finally, the experiment results confirm the feasibility of our methods.