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CVPR
1998
IEEE
14 years 11 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
CVPR
2010
IEEE
14 years 5 months ago
Discrete minimum ratio curves and surfaces
Graph cuts have proven useful for image segmentation and for volumetric reconstruction in multiple view stereo. However, solutions are biased: the cost function tends to favour ei...
Fred Nicolls, Phil Torr
ICVGIP
2004
13 years 10 months ago
Improved Cut-Based Foreground Identification
Automatic content based schemes, as opposed to those with human endeavor, have become important as users attempt to organize massive data presented in the form of multimedia data ...
Sharat Chandran, Satwik Hebbar, Vishal Mamania, Ab...
SCALESPACE
2009
Springer
14 years 1 months ago
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentati...
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F...
COMPGEOM
2009
ACM
14 years 3 months ago
Randomly removing g handles at once
It was shown in [11] that any orientable graph of genus g can be probabilistically embedded into a graph of genus g − 1 with constant distortion. Removing handles one by one giv...
Glencora Borradaile, James R. Lee, Anastasios Sidi...