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» A probabilistic framework for image segmentation
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NIPS
2008
13 years 9 months ago
Multiscale Random Fields with Application to Contour Grouping
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
Longin Jan Latecki, ChengEn Lu, Marc Sobel, Xiang ...
CVPR
2012
IEEE
11 years 10 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
CVPR
2009
IEEE
15 years 2 months ago
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
We propose a novel approach for improving level set seg- mentation methods by embedding the potential functions from a discriminatively trained conditional random field (CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...
ECCV
2000
Springer
14 years 9 months ago
New Algorithms for Controlling Active Contours Shape and Topology
In recent years, the eld of active-contour based image segmentation have seen the emergence of two competing approaches. The rst and oldest approach represents active contours in ...
Hervé Delingette, Johan Montagnat
ICASSP
2009
IEEE
14 years 2 months ago
Visual grouping by neural oscillators
Distributed synchronization is known to occur at several scales in the brain, and has been suggested as playing a key functional role in perceptual grouping. State-of-the-art visu...
Guoshen Yu, Jean-Jacques E. Slotine