Detecting and recognizing face images automatically is a difficult task due to the variability of illumination, presentation angle, face expression and other common problems of m...
In this paper, we present a novel framework to address
the confounding effects of illumination variation in face
recognition. By augmenting the gallery set with realistically
re...
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Abstract. We present a system for automatic FAX routing which processes incoming FAX images and forwards them to the correct email alias. The system first performs optical charact...
Restoring the fine detail in the slide area of a defocused lecture video is a challenging task. In this work, we propose to use clean images of slides available along with the def...
Ngai-Man Cheung, David M. Chen, Vijay Chandrasekha...