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CVPR
2003
IEEE
14 years 10 months ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002
CVPR
2007
IEEE
14 years 10 months ago
Efficient Belief Propagation for Vision Using Linear Constraint Nodes
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
Brian Potetz
ICIP
2008
IEEE
14 years 10 months ago
Low delay streaming of computer graphics
In this paper, we present a graphics streaming system for remote gaming in a local area network. The framework aims at creating a networked game platform for home and hotel enviro...
Peter Eisert, Philipp Fechteler
CGF
2005
167views more  CGF 2005»
13 years 8 months ago
Adaptive Deformable Models for Graphics and Vision
Deformable models are a powerful tool in both computer graphics and computer vision. The description and implementation of the deformations have to be simultaneously flexible and ...
Siome Goldenstein, Christian Vogler, Luiz Velho
CVPR
2005
IEEE
14 years 10 months ago
Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...
Frank Dellaert, Vivek Kwatra, Sang Min Oh