39 search results - page 7 / 8 » Learning Real-Time MRF Inference for Image Denoising |
CVPR
2011
IEEE
12 years 8 months ago
2011
IEEE
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
ICIAR
2009
Springer
13 years 2 months ago
2009
Springer
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...
SIAMIS
2010
12 years 11 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...