48 search results - page 5 / 10 » Object Localization Based on Markov Random Fields and Symmet... |
ACCV
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We study the cosegmentation problem where the objective
is to segment the same object (i.e., region) from a pair
of images. The segmentation for each image can be cast
using a p...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
WACV
2007
IEEE
14 years 2 months ago
2007
IEEE
We present a method for the simultaneous detection and segmentation of objects from static images. We employ lowlevel contour features that enable us to learn the coarse object sh...
IVC
2008
13 years 8 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...