3D facial gestures in biometrics: from feasibility study to application

Truong-Benedikt, Lanthao, 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. 3D facial gestures in biometrics: from feasibility study to application. Presented at: IEEE Conference on Biometrics: Theory, Applications, and Systems, Arlington, VA, USA, 29 September - 1 October 2008. Published in: Bowyer, K. W. ed. BTAS 2008. 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, 2008, Arlington, VA, 29 Sept. -1 Oct. 2008. Los Alamitos, CA: IEEE, 10.1109/BTAS.2008.4699351

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Abstract

The human face has been so far mainly seen as a physiological biometric and very little work has been done to exploit the idiosyncrasies of facial gestures for person identification. This study proposes a markerless method to capture 3D facial motions, and investigates a number of pattern matching techniques which operate accurately on very short facial actions. Qualitative and quantitative evaluations are performed for both the face identification and the face verification problems. The emphasis is placed on designing a system which is not only accurate but also usable in a real-life scenario.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords:	3D facial gestures, 3D facial motions, biometrics, face identification, face verification, pattern matching techniques, person identification
Publisher:	IEEE
ISBN:	9781424427291
Last Modified:	19 Oct 2022 08:54
URI:	https://orca.cardiff.ac.uk/id/eprint/19423

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