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» A Graph Cut Algorithm for Generalized Image Deconvolution
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CVPR
2004
IEEE
16 years 6 months ago
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition
Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two appr...
Adrian Barbu, Song Chun Zhu
ECCV
2006
Springer
16 years 6 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
CVPR
2011
IEEE
14 years 11 months ago
Submodularity beyond submodular energies: coupling edges in graph cuts
We propose a new family of non-submodular global energy functions that still use submodularity internally to couple edges in a graph cut. We show it is possible to develop an efï¬...
Stefanie Jegelka, Jeff Bilmes
ICCV
2007
IEEE
16 years 6 months ago
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...
Ali Kemal Sinop, Leo Grady
MEMICS
2010
14 years 11 months ago
A Simple Topology Preserving Max-Flow Algorithm for Graph Cut Based Image Segmentation
In this paper, we propose a modification to the Boykov-Kolmogorov maximum flow algorithm [2] in order to make the algorithm preserve the topology of an initial interface. This alg...
Ondrej Danek, Martin Maska