69 search results - page 11 / 14 » A segmentation method using compound Markov random fields ba... |
ICDAR
2007
IEEE
14 years 2 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
IVC
2008
13 years 7 months ago
2008
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
ICCV
2009
IEEE
15 years 23 days ago
2009
IEEE
This paper is focused on the Co-segmentation problem
[1] – where the objective is to segment a similar object from
a pair of images. The background in the two images may be
ar...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...