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» A Markov Chain Monte Carlo Approach to Stereovision
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113
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ECCV
2002
Springer
16 years 2 months ago
A Markov Chain Monte Carlo Approach to Stereovision
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Julien Sénégas
82
Voted
JSAC
2008
102views more  JSAC 2008»
15 years 29 days ago
Convergence of Markov-Chain Monte-Carlo Approaches to Multiuser and MIMO Detection
Markov-chain Monte
Soren J. Henriksen, Brett Ninness, Steven R. Welle...
154
Voted
CVPR
2009
IEEE
15 years 11 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
110
Voted
WACV
2005
IEEE
15 years 6 months ago
Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
This paper addresses the problem of tracking human body pose in monocular video including automatic pose initialization and re-initialization after tracking failures caused by par...
Mun Wai Lee, Ramakant Nevatia
TCOM
2010
138views more  TCOM 2010»
14 years 11 months ago
Approaching MIMO capacity using bitwise Markov Chain Monte Carlo detection
—This paper examines near capacity performance of Markov Chain Monte Carlo (MCMC) detectors for multipleinput and multiple-output (MIMO) channels. The proposed MCMC detector (Log...
Rong-Rong Chen, Ronghui Peng, Alexei Ashikhmin, Be...