170 search results - page 9 / 34 » Region Classification with Markov Field Aspect Models |
ICDAR
2009
IEEE
14 years 2 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
BMVC
2010
13 years 5 months ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...
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...