Image resizing with SIFT feature preservation

Abstract

The Scale Invariant Feature Transform (SIFT) feature can be used for an image distance measure. SIFT keypoints are mainly located on high-contrast regions of an image, such as object edges and textures, which are often visually important. Therefore, it can be said that if a resized image keeps SIFT features which the corresponding original image has, the resized image is visually acceptable. To the best of our knowledge, there is no resizing method for explicit preservation of SIFT features. In this paper, we propose a resizing method based on mesh warping for explicit preservation of SIFT features. The effectiveness of our resizing method is demonstrated by experiments.