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» Variational Bayesian image modelling
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CVPR
2003
IEEE
16 years 5 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ECCV
2006
Springer
16 years 5 months ago
Variational Motion Segmentation with Level Sets
We suggest a variational method for the joint estimation of optic flow and the segmentation of the image into regions of similar motion. It makes use of the level set framework fol...
Thomas Brox, Andrés Bruhn, Joachim Weickert
TIP
2010
127views more  TIP 2010»
15 years 1 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
MICCAI
2004
Springer
16 years 3 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
ICIP
2008
IEEE
15 years 9 months ago
Texture modulation-constrained image decomposition
Texture modeling and separation of structure in images are treated in synergy. A variational image decomposition scheme is formulated using explicit texture reconstruction constra...
Georgios Evangelopoulos, Petros Maragos