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» Modeling of Front Evolution with Graph Cut Optimization
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CEC
2007
IEEE
15 years 8 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers
111
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ICPR
2008
IEEE
16 years 3 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel

Publication
592views
16 years 10 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
145
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BMVC
2010
14 years 9 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
CVPR
2005
IEEE
16 years 4 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