147 search results - page 2 / 30 » Markov random field models for hair and face segmentation |
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
INFORMATICALT
2006
13 years 4 months ago
2006
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
SSIAI
2000
IEEE
13 years 9 months ago
2000
IEEE
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...