39 search results - page 5 / 8 » Learning Real-Time MRF Inference for Image Denoising |
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
166
Voted
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
101
Voted
EMMCVPR
2005
Springer
15 years 3 months ago
2005
Springer
In this paper, we consider the problem of color restoration using statistical priors. This is applied to color recovery for underwater images, using an energy minimization formulat...
81
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...