Truong-Benedikt, Lanthao, Kajic, Vedran, Cosker, Darren P., Rosin, Paul L. ![]() ![]() |
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) |
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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: | |
Last Modified: | 19 Oct 2022 08:57 |
URI: | https://orca.cardiff.ac.uk/id/eprint/19597 |
Citation Data
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