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ICCV
2007
IEEE
15 years 11 months ago
Steerable Random Fields
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
Stefan Roth, Michael J. Black
100
Voted
PAMI
2007
159views more  PAMI 2007»
14 years 9 months ago
Soft Color Segmentation and Its Applications
—We propose an automatic approach to soft color segmentation, which produces soft color segments with an appropriate amount of overlapping and transparency essential to synthesiz...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
ICIP
2007
IEEE
15 years 11 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICPR
2004
IEEE
15 years 10 months ago
Image Segmentation by Shape Particle Filtering
Statistical appearance models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with local appe...
Mads Nielsen, Marleen de Bruijne
88
Voted
ICIP
1998
IEEE
15 years 11 months ago
Lip Features Automatic Extraction
An algorithm for speaker's lip segmentation and features extraction is presented in this paper. A color video sequence of speaker's face is acquired, under natural light...
Franck Luthon, Marc Liévin