Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
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Description
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Models (GMMs) which describe Intra-Personal (IP) and Extra-Personal (EP) variations. Two classifiers, an IP and IPEP classifier, are formed using these GMMs and their performance is compared to that of the Mahalanobis cosine metric (MahCosine). The best results for the 2D and 3D face modalities are obtained with the IP and IPEP classifiers respectively. The multi-modal fusion of these two systems provided consistent performance improvement across the FRGC database v2.0.
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| ID Code: | 9353 | ||||||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||||||
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| Measurements or Duration: | 6 pages | ||||||
| Keywords: | Face, Feature, Modelling, Recognition, Three-Dimensional | ||||||
| DOI: | 10.1109/AVSS.2006.50 | ||||||
| ISBN: | 0-7695-2688-8 | ||||||
| Pure ID: | 33797686 | ||||||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Schools > School of Engineering Systems Past > Institutes > Information Security Institute Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Research Centres > Australian Research Centre for Aerospace Automation |
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| Copyright Owner: | Consult author(s) regarding copyright matters | ||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||
| Deposited On: | 05 Sep 2007 00:00 | ||||||
| Last Modified: | 03 Mar 2024 10:45 |
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