1427 search results - page 42 / 286 » Markov Random Field Modeling in Computer Vision |
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
ICIG
2009
IEEE
13 years 6 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
ECAI
2006
Springer
14 years 21 days ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
ISCI
2010
13 years 7 months ago
2010
Extracting perceptually meaningful strokes plays an essential role in modeling structures of handwritten Chinese characters for accurate character recognition. This paper proposes...