180 search results - page 14 / 36 » Relational Graph Labelling Using Learning Techniques and Mar... |
122
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
128
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
138
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IJCV
2006
15 years 2 months ago
2006
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
139
Voted
ECCV
2008
Springer
16 years 4 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...