417 search results - page 47 / 84 » Supervised Image Segmentation Using Markov Random Fields |
142
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
CVIU
2006
14 years 12 months ago
2006
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
100
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ICIP
1999
IEEE
15 years 4 months ago
1999
IEEE
Segmentation of motion in an image sequence is one of the most challenging problems in image processing, while at the same time one that finds numerous applications. To date, a wea...
ISBI
2009
IEEE
15 years 6 months ago
2009
IEEE
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
162
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ACCV
2010
Springer
14 years 6 months ago
2010
Springer
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...