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PAMI
2010
139views more  PAMI 2010»
14 years 7 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
82
Voted
MP
2010
85views more  MP 2010»
14 years 4 months ago
Solving Max-Cut to optimality by intersecting semidefinite and polyhedral relaxations
Franz Rendl, Giovanni Rinaldi, Angelika Wiegele
CVPR
2012
IEEE
12 years 12 months ago
Graph cuts optimization for multi-limb human segmentation in depth maps
We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps...
Antonio Hernández-Vela, Nadezhda Zlateva, A...
122
Voted
ACCV
2010
Springer
14 years 4 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
141
Voted
PAMI
2010
396views more  PAMI 2010»
14 years 7 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