CSDA
2007
13 years 11 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
IJCV
2006
13 years 11 months ago
2006
Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, ...
DAGM
2005
Springer
14 years 4 months ago
2005
Springer
We present a novel variational method for estimating dense disparity maps from stereo images. It integrates the epipolar constraint into the currently most accurate optic flow met...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We present a region-based active contour detection algorithm
for objects that exhibit relatively homogeneous photometric
characteristics (e.g. smooth color or gray levels),
embe...
ECCV
2000
Springer
15 years 1 months ago
2000
Springer
This paper focuses on matching 1D structures by variational methods. We provide rigorous rules for the construction of the cost function, on the basis of an analysis of properties ...
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This page contains several methods using variational methods on the GPU.