1387 search results - page 31 / 278 » Variational Bayesian image modelling |
JVCIR
2010
14 years 10 months ago
2010
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. The demosaicing process converts single-CCD color representations of one color channel per pixel into full per-pixel RGB. We introduce a Bayesian technique for demosaicin...
108
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
109
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ICML
2004
IEEE
16 years 16 days ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
109
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TIP
2010
14 years 6 months ago
2010
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...