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» Markov Random Field Modeling in Computer Vision
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CVPR
2008
IEEE
14 years 3 months ago
The statistical modelling of fingerprint minutiae distribution with implications for fingerprint individuality studies
The spatial distribution of fingerprint minutiae is a core problem in the fingerprint individuality study, the cornerstone of the fingerprint authentication technology. Previously...
Jiansheng Chen, Yiu Sang Moon
ICIP
2008
IEEE
14 years 3 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
MICCAI
2008
Springer
14 years 10 months ago
Nonrigid Registration of Dynamic Renal MR Images Using a Saliency Based MRF Model
Nonrigid registration of contrast-enhanced MR images is a difficult problem due to the change in pixel intensity caused by the washin and wash-out of the contrast agent. In this pa...
Dwarikanath Mahapatra, Ying Sun
IJON
2008
186views more  IJON 2008»
13 years 9 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
ICML
2004
IEEE
14 years 10 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh