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» Reducing graphs in graph cut segmentation
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ICASSP
2011
IEEE
14 years 7 months ago
Semi-automatic 2D to 3D image conversion using a hybrid Random Walks and graph cuts based approach
In this paper, we present a semi-automated method for converting conventional 2D images to stereoscopic 3D. User-defined strokes that correspond to a rough estimate of the depth ...
Raymond Phan, Richard Rzeszutek, Dimitrios Androut...
CVPR
2004
IEEE
16 years 6 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
CVPR
2010
IEEE
16 years 10 days ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman
CVPR
2005
IEEE
16 years 6 months ago
Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors
We optimize over the set of corrected laplacians (CL) associated with a weighted graph to improve the average case normalized cut (NCut) of a graph. Unlike edge-relaxation SDPs, o...
David Tolliver, Gary L. Miller, Robert T. Collins
CVPR
2009
IEEE
1298views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Video Object Segmentation by Hypergraph Cut
In this paper, we present a new framework of video object segmentation, in which we formulate the task of extracting prominent objects from a scene as the problem of hypergraph ...
Dimitris N. Metaxas, Qingshan Liu, Yuchi Huang