417 search results - page 30 / 84 » Supervised Image Segmentation Using Markov Random Fields |
102
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
The high dynamic range image (HDRI) acquisition method based on Markov random field model is proposed. By combining multiple exposure images shot with different shutter speed, we ...
110
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ECCV
2010
Springer
15 years 28 days ago
2010
Springer
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
ISCAS
1994
IEEE
15 years 4 months ago
1994
IEEE
In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We a...
147
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PAMI
2010
14 years 10 months ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...