1164 search results - page 113 / 233 » Steerable Random Fields |
ICIP
2000
IEEE
2000
IEEE
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
14 years 11 months ago
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
MICCAI
2009
Springer
14 years 11 months ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
ESTIMEDIA
2008
Springer
13 years 11 months ago
2008
Springer
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
CDC
2010
IEEE
13 years 5 months ago
2010
IEEE
This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...