CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
In this paper, we propose an algorithm for estimating dense depth information of dynamic scenes from multiple video streams captured using unsynchronized stationary cameras. We so...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
We develop a fast and accurate variable window approach. The two main ideas for achieving accuracy are choosing a useful range of window sizes/shapes for evaluation and developing...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
A “graphics for vision” approach is proposed to address the problem of reconstruction from a large and imperfect data set: reconstruction on demand by tensor voting, or ROD-TV...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
A framework for analyzing distortions in non-single viewpoint imaging systems is presented. Such systems possess loci of viewpoints called caustics. In general, perspective (or un...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
Relevance feedback has been an indispensable component for multimedia retrieval systems. In this paper, we present an adaptive pattern discovery method, which addresses relevance ...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper brings a novel method for three-dimensional reconstruction of surfaces that takes advantage of the symmetry resulting from alternating the positions of a camera and a l...
CVPR
2003
IEEE
14 years 5 months ago
2003
IEEE
Object recognition has reached a level where we can identify a large number of previously seen and known objects. However, the more challenging and important task of categorizing ...