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» A Graph-cut Based Algorithm For Approximate Mrf Optimization
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ESA
2005
Springer
114views Algorithms» more  ESA 2005»
15 years 3 months ago
Unbalanced Graph Cuts
We introduce the Minimum-size bounded-capacity cut (MinSBCC) problem, in which we are given a graph with an identified source and seek to find a cut minimizing the number of node...
Ara Hayrapetyan, David Kempe, Martin Pál, Z...
ECCV
2008
Springer
15 years 11 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
MICCAI
2008
Springer
15 years 11 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
ICIAR
2009
Springer
15 years 4 months ago
Interactive Image Segmentation Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior
Abstract. A new algorithm for interactive image segmentation is proposed. Besides the traditional appearance and gradient information, a new Generic Shape Prior (GSP) knowledge whi...
Chen Liu, Fengxia Li, Yan Zhang, Haiyang Gu
PAMI
2010
139views more  PAMI 2010»
14 years 8 months ago
Order-Preserving Moves for Graph-Cut-Based Optimization
— In the last decade, graph-cut optimization has been popular for a variety of labeling problems. Typically graph-cut methods are used to incorporate smoothness constraints on a ...
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu