This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...
Very large polygonal models are frequently used in scientific computing, mechanical engineering, or virtual medicine. An effective technique to handle these large models is occlus...
One of the most difficult issues in visual tracking is to track people in groups, especially under occlusions. In this paper, we present a novel sample consensus based method, whi...
In this paper, we present an enhanced Pictorial Struc-
ture (PS) model for precise eye localization, a fundamen-
tal problem involved in many face processing tasks. PS is
a comp...
Xiaoyang Tan (Nanjing University of Aeronautics an...
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...