127 search results - page 3 / 26 » Markov Random Field Modelling of fMRI Data Using a Mean Fiel... |
ICIP
2005
IEEE
14 years 7 months ago
2005
IEEE
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
CVPR
2009
IEEE
15 years 11 days ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...
CVPR
2008
IEEE
13 years 7 months ago
2008
IEEE
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...