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» A Graph-cut Based Algorithm For Approximate Mrf Optimization
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15 years 3 months ago
Coupling Graph Cuts and Level Sets
"This paper presents an efficient algorithm for solving one sort of region-based active contour models, i.e. the active contours without edges model. We develop the link betwe...
Xiang Zeng, Wei Chen, and Qunsheng Peng
CVPR
2007
IEEE
14 years 9 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
PAMI
2007
127views more  PAMI 2007»
13 years 6 months ago
Stereo Correspondence with Occlusion Handling in a Symmetric Patch-Based Graph-Cuts Model
—A novel patch-based correspondence model is presented in this paper. Many segment-based correspondence approaches have been proposed in recent years. Untextured pixels and bound...
Yi Deng, Qiong Yang, Xueyin Lin, Xiaoou Tang
ACIVS
2008
Springer
14 years 1 months ago
Scene Reconstruction Using MRF Optimization with Image Content Adaptive Energy Functions
Multi-view scene reconstruction from multiple uncalibrated images can be solved by two stages of processing: first, a sparse reconstruction using Structure From Motion (SFM), and ...
Ping Li, Rene Klein Gunnewiek, Peter H. N. de With
CVPR
2007
IEEE
14 years 9 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang