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CVPR
2006
IEEE
14 years 9 months ago
Stereo Matching with Symmetric Cost Functions
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Kuk-Jin Yoon, In-So Kweon
CBMS
2004
IEEE
13 years 11 months ago
Image Segmentation of Uterine Cervix Images for Indexing in PACS
The National Cancer Institute has collected a large database of digitized 35mm slides of the uterine cervix, the idea being to build a system enabling to study the evolution of le...
Shiri Gordon, Gali Zimmerman, Hayit Greenspan
ICCV
2007
IEEE
14 years 9 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
CVPR
2007
IEEE
14 years 9 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
15 years 16 days 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...