A Blur-Invariant Local Feature Descriptor for Gaussian and Motion Blurred Image Matching

ABSTRACT Even though plenty of local feature descriptors have been proposed in the past decades, lacking of robustness to blur is still one of the biggest problems of all existing descriptors. This paper presents a blur-invariantlocal feature descriptor for matching a blurred image (caused by camera motion, out of focus, etc.) and a non-blurred image. The proposed descriptor is based on blur-invariant moments. By encoding the blur-invariant moments for each pixel in local regions, the proposed descriptor can generate local features that are distinctive while keeping robustness to blur. Experimental results show that the proposed descriptor is suitable to blurred image matchingand outperforms the state of the art methods. Keywords:descriptor, blur-invariant, image moment, image matching