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» Saliency Cuts: An automatic approach to object segmentation
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CVPR
2008
IEEE
14 years 10 months ago
Shape prior segmentation of multiple objects with graph cuts
We present a new shape prior segmentation method using graph cuts capable of segmenting multiple objects. The shape prior energy is based on a shape distance popular with level se...
Nhat Vu, B. S. Manjunath
ACCV
2007
Springer
14 years 3 months ago
Image Segmentation Using Iterated Graph Cuts Based on Multi-scale Smoothing
We present a novel approach to image segmentation using iterated Graph Cuts based on multi-scale smoothing. We compute the prior probability obtained by the likelihood from a color...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...
CVPR
2011
IEEE
13 years 4 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
PAMI
2010
396views more  PAMI 2010»
13 years 7 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
PAMI
2010
190views more  PAMI 2010»
13 years 7 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...