Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Assessing the uniqueness and permanence of facial actions for use in biometric applications

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 2010. Assessing the uniqueness and permanence of facial actions for use in biometric applications. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 40 (3) , pp. 449-460. 10.1109/TSMCA.2010.2041656

Full text not available from this repository.

Abstract

Although the human face is commonly used as a physiological biometric, very little work has been done to exploit the idiosyncrasies of facial motions for person identification. In this paper, we investigate the uniqueness and permanence of facial actions to determine whether these can be used as a behavioral biometric. Experiments are carried out using 3-D video data of participants performing a set of very short verbal and nonverbal facial actions. The data have been collected over long time intervals to assess the variability of the subjects' emotional and physical conditions. Quantitative evaluations are performed for both the identification and the verification problems; the results indicate that emotional expressions (e.g., smile and disgust) are not sufficiently reliable for identity recognition in real-life situations, whereas speech-related facial movements show promising potential.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics
Uncontrolled Keywords: 3-D facial recognition; Active appearance model; biometrics; dynamic time warping; facial motion; pattern recognition
Publisher: IEEE
ISSN: 1083-4427
Last Modified: 18 Oct 2022 13:29
URI: https://orca.cardiff.ac.uk/id/eprint/14110

Citation Data

Cited 42 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item