The shortest warping path based multiple images alignment
In this paper, we propose a method to align multiple images of the same category. Images with large variations are aligned via a smooth transition formed by some intermediate images. These intermediate images are found by shortest warping path algorithm on a directed complete graph. Moreover, the common regions in the images are discovered to further improve alignment performance. The experimental results show that our method is effective to map and align images of the same category but with large variations of appearance, shape and view.