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ICCV
2007
IEEE
13 years 9 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
AMFG
2003
IEEE
152views Biometrics» more  AMFG 2003»
14 years 27 days ago
Fully Automatic Upper Facial Action Recognition
This paper provides a new fully automatic framework to analyze facial action units, the fundamental building blocks of facial expression enumerated in Paul Ekman’s Facial Action...
Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard
ICIP
2005
IEEE
14 years 9 months ago
Robust facial expression recognition using local binary patterns
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
Caifeng Shan, Shaogang Gong, Peter W. McOwan
FGR
2002
IEEE
155views Biometrics» more  FGR 2002»
14 years 17 days ago
Model-Based Face Tracking for View-Independent Facial Expression Recognition
Facial expression recognition is necessary for designing any realistic human-machine interfaces. Previous published facial expression recognition systems achieve good recognition ...
Salih Burak Göktürk, Carlo Tomasi, Bernd...
ICPR
2010
IEEE
13 years 5 months ago
Using Moments on Spatiotemporal Plane for Facial Expression Recognition
In this paper, we propose a novel approach to capture the dynamic deformation caused by facial expressions. The proposed method is concentrated on the spatiotemporal plane which i...
Yi Ji, Khalid Idrissi