20 search results - page 2 / 4 » Interpreting Images by Propagating Bayesian Beliefs |
ECCV
2002
Springer
15 years 6 days ago
2002
Springer
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF's). These three MRF's model a smooth fie...
IJON
2010
13 years 8 months ago
2010
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
CVIU
2007
13 years 10 months ago
2007
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
ICDAR
2007
IEEE
14 years 4 months ago
2007
IEEE
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...