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PAMI
2010
396views more  PAMI 2010»
13 years 3 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
PAMI
2010
139views more  PAMI 2010»
13 years 3 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
ICIAR
2009
Springer
13 years 11 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
IJCV
2006
299views more  IJCV 2006»
13 years 4 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
BMVC
2010
12 years 12 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