This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
In this paper, we develop a new video-to-video face recognition algorithm. The major advantage of the video based method is that more information is available in a video sequence ...
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
This paper is concerned with motion estimation in transparent X-Ray image sequences. Most of these medical images can be divided into areas containing at most two moving transpare...