In this paper, we review the recently published work on deformable models. We have
chosen to concentrate on 2D deformable models and relate the energy minimization …

This paper describes an approach for tracking rigid and articulated objects using a view-
based representation. The approach builds on and extends work on eigenspace …

We extend the work of Black and Yacoob (1995) on the tracking and recognition of human
facial expressions using parametrized models of optical flow to deal with the articulated …

We address the issue of recovering and segmenting the apparent velocity field in sequences
of images. As for motion estimation, we minimize an objective function involving two robust …

This paper describes a new approach for tracking rigid and articulated objects using a view-
based representation. The approach builds on and extends work on eigenspace …

Algorithms for object segmentation are crucial in many image processing applications.
During past years, active contour models (snakes) have been widely used for finding the …

The goal of this paper is to offer a structured synopsis of the problems in image motion
computation and analysis, and of the methods proposed, exposing the underlying models …

In this paper, we present a new approach to recognizing hand signs. In this approach,
motion recognition (the hand movement) is tightly coupled with spatial recognition (hand …

This paper presents a new and accurate three-dimensional (3-D) reconstruction technique
for the scoliotic spine from a pair of planar and conventional (postero-anterior with normal …

We analyze level set implementation of region snakes based on the maximum likelihood
method for different noise models that belong to the exponential family. We show that this …