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Automatic Facial Expression Analysis A Survey

Author(s): C.P. Sumathi | T. Santhanam | M.Mahadevi

Journal: International Journal of Computer Science and Engineering Survey
ISSN 0976-3252

Volume: 3;
Issue: 6;
Start page: 47;
Date: 2013;
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Keywords: Facial Expression | FACS | Geometric Features | Appearance Features | Deformation | Facial Motion

The Automatic Facial Expression Recognition has been one of the latest research topic since1990’s.There have been recent advances in detecting face, facial expression recognition andclassification. There are multiple methods devised for facial feature extraction which helps in identifyingface and facial expressions. This paper surveys some of the published work since 2003 till date. Variousmethods are analysed to identify the Facial expression. The Paper also discusses about the facialparameterization using Facial Action Coding System(FACS) action units and the methods whichrecognizes the action units parameters using facial expression data that are extracted. Various kinds offacial expressions are present in human face which can be identified based on their geometric features,appearance features and hybrid features . The two basic concepts of extracting features are based onfacial deformation and facial motion. This article also identifies the techniques based on thecharacteristics of expressions and classifies the suitable methods that can be implemented.
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