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ICCV
2007
IEEE
15 years 1 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
FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
15 years 4 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...
CIVR
2008
Springer
182views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Fusion of audio and visual cues for laughter detection
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we present an audiovisual approach to distinguishing laughter from speech and we sh...
Stavros Petridis, Maja Pantic
FGR
2008
IEEE
150views Biometrics» more  FGR 2008»
15 years 6 months ago
Emotional contagion for unseen bodily expressions: Evidence from facial EMG
Emotional contagion refers to the tendency to automatically mimic and synchronize our facial expressions with those of another person. Recent EMG studies have shown that emotional...
Marco Tamietto, Béatrice de Gelder
FUZZIEEE
2007
IEEE
15 years 6 months ago
Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model
— This paper presents the fuzzy video based emotion recognition system VISBER, that allows to analyze facial expressions in video sequences. In order to process images in real-ti...
Natascha Esau, Evgenija Wetzel, Lisa Kleinjohann, ...