CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper presents a novel hierarchical approach to triangular mesh generation from height fields. A waveletbased multiresolution analysis technique is used to estimate local sha...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper presents a spatio-temporal query language useful for video interpretation and event recognition. The language is suited to describe configurations of objects moving on ...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter ...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...