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» Bayesian Restoration of Noisy Images with the EM Algorithm
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CVPR
2004
IEEE
14 years 7 months ago
Atlanta World: An Expectation Maximization Framework for Simultaneous Low-Level Edge Grouping and Camera Calibration in Complex
Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene under...
Grant Schindler, Frank Dellaert
EMMCVPR
1999
Springer
13 years 9 months ago
A New Algorithm for Energy Minimization with Discontinuities
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
Yuri Boykov, Olga Veksler, Ramin Zabih
ICASSP
2011
IEEE
12 years 9 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ICCV
1999
IEEE
14 years 7 months ago
Fast Approximate Energy Minimization via Graph Cuts
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
Yuri Boykov, Olga Veksler, Ramin Zabih
IJAR
2007
100views more  IJAR 2007»
13 years 5 months ago
Multisensor triplet Markov chains and theory of evidence
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...
Wojciech Pieczynski