273 search results - page 18 / 55 » Adaptative Markov Random Fields for Omnidirectional Vision |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We address in this paper the problem of segmenting complex handritten pages such as novelist drafts or authorial manuscripts. We propose to use stochastic and contextual models in...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...