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» Markov random field models for hair and face segmentation
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CVPR
2008
IEEE
14 years 10 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
14 years 1 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
IVC
2006
155views more  IVC 2006»
13 years 8 months ago
A Markov random field image segmentation model for color textured images
Zoltan Kato, Ting-Chuen Pong
RTI
2000
169views more  RTI 2000»
13 years 8 months ago
Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures
Tamás Szirányi, Josiane Zerubia, L&a...
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...