147 search results - page 7 / 30 » Markov random field models for hair and face segmentation |
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
We propose a binary Markov Random Field (MRF) model
that assigns high probability to regions in the image domain
consisting of an unknown number of circles of a given radius.
We...
ICPR
2000
IEEE
14 years 9 months ago
2000
IEEE
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
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Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...