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» Graph-Theoretical Methods in Computer Vision
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CVPR
2003
IEEE
16 years 9 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
2004
IEEE
16 years 9 months ago
Graphical Models for Graph Matching
This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov Random Field. We approximate the fully connected model with simpler mo...
Dante Augusto Couto Barone, Terry Caelli, Tib&eacu...
CVPR
2004
IEEE
16 years 9 months ago
Simultaneous Calibration and Tracking with a Network of Non-Overlapping Sensors
We describe a method for simultaneously recovering the trajectory of a target and the external calibration parameters of non-overlapping cameras in a multi-camera system. Each cam...
Ali Rahimi, Brian Dunagan, Trevor Darrell
CVPR
2005
IEEE
16 years 9 months ago
Bayesian Image Segmentation Using Wavelet-Based Priors
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...
Mário A. T. Figueiredo
CVPR
2005
IEEE
16 years 9 months ago
Multilabel Random Walker Image Segmentation Using Prior Models
The recently introduced random walker segmentation algorithm of [14] has been shown to have desirable theoretical properties and to perform well on a wide variety of images in pra...
Leo Grady