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research article

Automatic Facial Expression Analysis: A Survey

Fasel, B.
•
Luettin, Juergen
2003
Pattern Recognition

Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expressions reflect not only emotions, but other mental activities, social interaction and physiological signals. In this survey we introduce the most prominent automatic facial expression analysis methods and systems presented in the literature. Facial motion and deformation extraction approaches as well as classification methods are discussed with respect to issues such as face normalization, facial expression dynamics and facial expression intensity, but also with regard to their robustness towards environmental changes.

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Type
research article
DOI
10.1016/S0031-3203(02)00052-3
Author(s)
Fasel, B.
•
Luettin, Juergen
Date Issued

2003

Published in
Pattern Recognition
Volume

36

Issue

1

Start page

259

End page

275

Subjects

vision

Note

IDIAP-RR 99-19

URL

URL

http://publications.idiap.ch/downloads/reports/1999/rr99-19.pdf

Related documents

http://publications.idiap.ch/index.php/publications/showcite/fasel-rr-99-19
Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIDIAP  
Available on Infoscience
March 10, 2006
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/228304
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