Panoramic Image Stitching Using ASIFT
Chu Bin, Jiang Dalin · 2012
This paper concerns the problem of automated panoramic image stitching. Though the rotation and zoom are studied, the quantity of extracted features limit the result. Previous approaches have used human input to establish matching images. In this work, we use ASIFT features to find matches between images. Because of this our method is insensitive to the transition and noise images, we can achieve more accurate achievement.