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» Markov Random Field Models in Computer Vision
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SIAMREV
2010
140views more  SIAMREV 2010»
14 years 8 months ago
What Shape Is Your Conjugate? A Survey of Computational Convex Analysis and Its Applications
Computational Convex Analysis algorithms have been rediscovered several times in the past by researchers from different fields. To further communications between practitioners, we ...
Yves Lucet
ECCV
1994
Springer
16 years 3 months ago
Synchronous Image restoration
We analyse a class of tandem fields invariant by stochastic synchronous updating of all sites, subject to a generaJlzed reversibility assumption. We give a formal definition and pr...
Laurent Younes
ICPR
2008
IEEE
15 years 8 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
ICIP
2010
IEEE
14 years 11 months ago
An automated vertebra identification and segmentation in CT images
In this paper, we propose a new 3D framework to identify and segment VBs and TBs in clinical computed tomography (CT) images without any user intervention. The Matched filter is e...
Melih S. Aslan, Asem M. Ali, Ham Rara, Aly A. Fara...
ICCV
2009
IEEE
16 years 6 months ago
Boundary Ownership by Lifting to 2.5D
This paper addresses the “boundary ownership” problem, also known as the figure/ground assignment problem. Estimating boundary ownerships is a key step in perceptual organiz...
Ido Leichter and Michael Lindenbaum