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FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
14 years 3 months ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich
CVPR
2012
IEEE
11 years 11 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
13 years 6 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
CCGRID
2008
IEEE
13 years 10 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
ICASSP
2011
IEEE
13 years 17 days ago
Robust talking face video verification using joint factor analysis and sparse representation on GMM mean shifted supervectors
It has been previously demonstrated that systems based on block wise local features and Gaussian mixture models (GMM) are suitable for video based talking face verification due t...
Ming Li, Shrikanth Narayanan