481 search results - page 3 / 97 » A Markov random field image segmentation model for color tex... |
FGR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
ICIP
2003
IEEE
14 years 9 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...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patter...
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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...