14 search results - page 3 / 3 » Learning Non-Local Range Markov Random Field for Image Resto... |
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
CVPR
2011
IEEE
13 years 8 days 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...
CVPR
2009
IEEE
15 years 3 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
2007
IEEE
14 years 10 months ago
2007
IEEE
We present a method for the simultaneous detection and segmentation of people from static images. The proposed technique requires no manual segmentation during training, and explo...