Expression-invariant face recognition system using subspace model analysis

Tsai, PH; Jan, T

Expression-invariant face recognition system using subspace model analysis

Tsai, PH Jan, T

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Publication Type:: Conference Proceeding
Citation:: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2005, 2 pp. 1712 - 1717
Issue Date:: 2005-11-30

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Field	Value	Language
dc.contributor.author	Tsai, PH	en_US
dc.contributor.author	Jan, T	en_US
dc.date.issued	2005-11-30	en_US
dc.identifier.citation	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2005, 2 pp. 1712 - 1717	en_US
dc.identifier.issn	1062-922X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10946
dc.description.abstract	Face recognition has been recognized as most simple and non-intrusive technology that can be applied in many places. However, there are still many unsolved face recognition problems such as facial deformations, pose or illumination variations. Nonetheless, little research has been done on facial deformation problems. The hypothesis of this research was to determine if a face recognition system could provide robustness to facial deformation problem and its potential applicability. We used the Japanese Female Facial Expression (JAFFE) database as it provides the deformed facial traits for data collection. We used subspace model analysis to analyze the data so as to support our hypothesis. The experimental results indicate that face recognition may be robust to facial changes and applicable. © 2005 IEEE.	en_US
dc.relation.ispartof	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics	en_US
dc.title	Expression-invariant face recognition system using subspace model analysis	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Sicily, Italy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

Face recognition has been recognized as most simple and non-intrusive technology that can be applied in many places. However, there are still many unsolved face recognition problems such as facial deformations, pose or illumination variations. Nonetheless, little research has been done on facial deformation problems. The hypothesis of this research was to determine if a face recognition system could provide robustness to facial deformation problem and its potential applicability. We used the Japanese Female Facial Expression (JAFFE) database as it provides the deformed facial traits for data collection. We used subspace model analysis to analyze the data so as to support our hypothesis. The experimental results indicate that face recognition may be robust to facial changes and applicable. © 2005 IEEE.

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http://hdl.handle.net/10453/10946