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EMMCVPR
1999
Springer
13 years 11 months ago
1999
Springer
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 ...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
We introduce a new technique that can reduce any
higher-order Markov random field with binary labels into
a first-order one that has the same minima as the original.
Moreover, w...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Markov random fields with higher order potentials have emerged as a powerful model for several problems in computer vision. In order to facilitate their use, we propose a new rep...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...