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PAMI
2010
139views more  PAMI 2010»
14 years 10 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
151
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CVPR
2012
IEEE
13 years 2 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...
ACCV
2010
Springer
14 years 6 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
PAMI
2010
396views more  PAMI 2010»
14 years 10 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