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» Semi-supervised learning for facial expression recognition
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CIVR
2003
Springer
166views Image Analysis» more  CIVR 2003»
13 years 11 months ago
Evaluation of Expression Recognition Techniques
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
Ira Cohen, Nicu Sebe, Yafei Sun, Michael S. Lew, T...
CVPR
2003
IEEE
14 years 7 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
AMFG
2005
IEEE
244views Biometrics» more  AMFG 2005»
13 years 11 months ago
Automatic 3D Facial Expression Analysis in Videos
We introduce a novel framework for automatic 3D facial expression analysis in videos. The preliminary results were demonstrated by editing the facial expression with facial recogni...
Ya Chang, Marcelo Bernardes Vieira, Matthew Turk, ...
IVC
2006
154views more  IVC 2006»
13 years 5 months ago
Manifold based analysis of facial expression
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk
MIR
2003
ACM
94views Multimedia» more  MIR 2003»
13 years 11 months ago
Semi-supervised learning for facial expression recognition
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Thom...