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ESTIMEDIA
2008
Springer
13 years 6 months ago
Parallelization of belief propagation method on embedded multicore processors for stereo vision
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
Chi-Hua Lai, Kun-Yuan Hsieh, Shang-Hon Lai, Jenq K...
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
15 years 8 days ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
ECCV
2010
Springer
13 years 10 months ago
Building Rome on a Cloudless Day
This paper introduces an approach for dense 3D reconstruction from unregistered Internet-scale photo collections with about 3 million of images within the span of a day on a single...
IJCV
2008
282views more  IJCV 2008»
14 years 9 months ago
Stereo Matching Using Population-Based MCMC
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
Wonsik Kim (Seoul National University), Joonyoung ...
PAMI
2010
215views more  PAMI 2010»
13 years 3 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...