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PAMI
2012
13 years 3 days ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
ICMCS
2008
IEEE
165views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Graph cuts by using local texture features of wavelet coefficient for image segmentation
This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficient. Using Multiresolution Analysis based on Ha...
Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki
130
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CVPR
2012
IEEE
13 years 3 days 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...
SIBGRAPI
2006
IEEE
15 years 3 months ago
Actively Illuminated Objects using Graph-Cuts
This paper addresses the problem of foreground extraction using active illumination and graph-cut optimization. Our approach starts by detecting image regions that are likely to b...
Asla Medeiros Sá, Marcelo Bernardes Vieira,...
PAMI
2010
396views more  PAMI 2010»
14 years 8 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