417 search results - page 50 / 84 » Supervised Image Segmentation Using Markov Random Fields |
104
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ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
106
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DAGM
2008
Springer
15 years 1 months ago
2008
Springer
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
TMI
2010
14 years 10 months ago
2010
—This paper presents a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We describe and evaluat...
113
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
ICML
2006
IEEE
16 years 18 days ago
2006
IEEE
In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth &...