417 search results - page 25 / 84 » Supervised Image Segmentation Using Markov Random Fields |
108
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ICB
2009
Springer
15 years 6 months ago
2009
Springer
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
140
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MM
2006
ACM
15 years 5 months ago
2006
ACM
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
ICIP
1995
IEEE
16 years 1 months ago
1995
IEEE
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis' generalized sampling theorem. The algorith...
121
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IJCV
2008
14 years 11 months ago
2008
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
134
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
We propose to bridge the gap between Random Field (RF) formulations for joint categorization and segmentation (JCaS), which model local interactions among pixels and superpixels, ...