147 search results - page 8 / 30 » Markov random field models for hair and face segmentation |
ICDAR
2007
IEEE
14 years 2 months ago
2007
IEEE
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
ICCV
2001
IEEE
14 years 10 months ago
2001
IEEE
The spatial distribution of gray level intensities in an image can be naturally modeled using Markov Random Field (MRF) models. We develop and investigate the performance of face ...
EMMCVPR
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
PAMI
2007
13 years 8 months ago
2007
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
ECCV
2002
Springer
14 years 10 months ago
2002
Springer
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...