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» Adaptative Markov Random Fields for Omnidirectional Vision
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EMMCVPR
1999
Springer
13 years 11 months ago
Auxiliary Variables for Markov Random Fields with Higher Order Interactions
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
Robin D. Morris
CVPR
2007
IEEE
14 years 9 months ago
Handwritten Carbon Form Preprocessing Based on Markov Random Field
This paper proposes a statistical approach to degraded handwritten form image preprocessing including binarization and form line removal. The degraded image is modeled by a Markov...
Huaigu Cao, Venu Govindaraju
ICPR
2008
IEEE
14 years 8 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
ICPR
2006
IEEE
14 years 8 months ago
Stroke Segmentation of Chinese Characters Using Markov Random Fields
This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentatio...
Jia Zeng, Zhi-Qiang Liu
ICPR
2004
IEEE
14 years 8 months ago
A Hybrid Face Recognition Method using Markov Random Fields
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
Dimitris N. Metaxas, Rui Huang, Vladimir Pavlovic