273 search results - page 30 / 55 » Adaptative Markov Random Fields for Omnidirectional Vision |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Recent stereo algorithms have achieved impressive results by modelling the disparity image as a Markov Random Field (MRF). An important component of an MRF-based approach is the i...
PAMI
2007
13 years 7 months ago
2007
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
CVPR
2009
IEEE
15 years 2 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...