147 search results - page 1 / 30 » Markov random field models for hair and face segmentation |
FGR
2008
IEEE
13 years 11 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...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
EMNLP
2006
13 years 6 months ago
2006
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
ICB
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a sing...