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ICPR
2010
IEEE
13 years 8 months ago
Approximate Belief Propagation by Hierarchical Averaging of Outgoing Messages
Abstract—This paper presents an approximate belief propagation algorithm that replaces outgoing messages from a node with the averaged outgoing message and propagates messages fr...
Koichi Ogawara
SIPS
2008
IEEE
14 years 3 months ago
Analysis of belief propagation for hardware realization
Belief propagation has become a popular technique for solving computer vision problems, such as stereo estimation and image denoising. However, it requires large memory and bandwi...
Chao-Chung Cheng, Chia-Kai Liang, Yen-Chieh Lai, H...
ICCV
2003
IEEE
14 years 10 months ago
Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters
Recent stereo algorithms have achieved impressive results by modelling the disparity image as a Markov Random Field (MRF). An important component of an MRF-based approach is the i...
Marshall F. Tappen, William T. Freeman
3DIM
2011
IEEE
12 years 8 months ago
Stereo Matching with Reliable Disparity Propagation
Abstract—In this paper, we propose a novel propagationbased stereo matching algorithm. Starting from an initial disparity map, our algorithm selects highly reliable pixels and pr...
Xun Sun, Xing Mei, Shaohui Jiao, Mingcai Zhou, Hai...
CVPR
2004
IEEE
14 years 10 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher