Facial dynamics in biometric identification

Truong-Benedikt, Lanthao, Kajic, Vedran, Cosker, Darren P., Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 and Marshall, Andrew David ORCID: https://orcid.org/0000-0003-2789-1395 2008. Facial dynamics in biometric identification. Presented at: British Machine Vision Conference, Leeds, UK, September 2008. Published in: Everingham, M. and Needham, C. J. eds. Proceedings of the British Machine Vision Conference, Leeds, UK, 1-4 September 2008. BMVA Press, 107.1-107.10. 10.5244/C.22.107

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Abstract

This paper investigates the use of facial gestures for identity recognition. This is the first time that such a quantitative evaluation is conducted, comparing the analyses of 2D versus 3D dynamic data of verbal and nonverbal facial actions. Suitable data processing and feature extraction methods are examined, then a number of pattern matching techniques including the Fr´echet distance, Correlation Coefficients, Hidden-Markov Models, Dynamic TimeWarping and its derived forms are compared, in light of which an improved algorithm is proposed. Finally, a face recognition prototype using facial dynamics is built, achieving an Equal Error Rate EER=1.6%.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Optometry and Vision Sciences Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information:	Session: Video, Biometrics and Activity Understanding
Publisher:	BMVA Press
ISBN:	1901725367
Related URLs:	http://www.cs.bath.ac.uk/~dpc/BMVC_Facia...
Last Modified:	19 Oct 2022 08:57
URI:	https://orca.cardiff.ac.uk/id/eprint/19597

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