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» A Graph-cut Based Algorithm For Approximate Mrf Optimization
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ICIP
2009
IEEE
14 years 8 months ago
A Graph-cut Based Algorithm For Approximate Mrf Optimization
This paper copes with the approximate minimization of Markovian energy with pairwise interactions. We extend previous approaches that rely on graph-cuts and move making techniques...
ICASSP
2007
IEEE
14 years 1 months ago
Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
Jue Wu, Albert C. S. Chung
ECCV
2008
Springer
14 years 5 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
ACCV
2009
Springer
14 years 1 months ago
Iterated Graph Cuts for Image Segmentation
Graph cuts based interactive segmentation has become very popular over the last decade. In standard graph cuts, the extraction of foreground object in a complex background often le...
Bo Peng, Lei Zhang, Jian Yang
DAGM
2009
Springer
13 years 8 months ago
A Gradient Descent Approximation for Graph Cuts
Abstract. Graph cuts have become very popular in many areas of computer vision including segmentation, energy minimization, and 3D reconstruction. Their ability to find optimal res...
Alparslan Yildiz, Yusuf Sinan Akgul