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» Emotion and Facial Expression
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FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
13 years 11 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...
CVPR
2012
IEEE
11 years 10 months ago
Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation
Automated facial expression recognition has received increased attention over the past two decades. Existing works in the field usually do not encode either the temporal evolutio...
Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
CGIM
2003
13 years 9 months ago
Real-time Facial Expressions in the Auslan Tuition System
Facial expressions are an integral part of Australian Sign Language (Auslan). This paper presents the implementation and integration of facial expression into the Auslan Tuition S...
J. C. Wong, Eun-Jung Holden, Nick Lowe, Robyn A. O...
FGR
2011
IEEE
238views Biometrics» more  FGR 2011»
12 years 11 months ago
The first facial expression recognition and analysis challenge
— Automatic Facial Expression Recognition and Analysis, in particular FACS Action Unit (AU) detection and discrete emotion detection, has been an active topic in computer science...
Michel François Valstar, Bihan Jiang, Marc ...
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Biologically vs. Logic Inspired Encoding of Facial Actions and Emotions in Video
Automatic facial expression analysis is an important aspect of Human Machine Interaction as the face is an important communicative medium. We use our face to signal interest, disa...
Michel François Valstar, Maja Pantic