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3D Face Recognition

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Guide to Biometric Reference Systems and Performance Evaluation

Abstract

Three-dimensional human facial surface information is a powerful biometric modality that has potential to improve the identification and/or verification accuracy of face recognition systems under challenging situations. In the presence of illumination, expression and pose variations, traditional 2D image-based face recognition algorithms usually encounter problems. With the availability of three-dimensional (3D) facial shape information, which is inherently insensitive to illumination and pose changes, these complications can be dealt with efficiently.

In this chapter, an extensive coverage of state-of-the-art 3D face recognition systems is given, together with discussions on recent evaluation campaigns and currently available 3D face databases. Later on, a fast Iterative Closest Point-based 3D face recognition reference system developed during the BioSecure project is presented. The results of identification and verification experiments carried out on the 3D-RMA database are provided for comparative analysis.

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Authors and Affiliations

  1. Computer Engineering Dept. Bebek, BoğaziÇi University, TR-34342, Istanbul, Turkey

    Berk Gökberk

  2. Computer Engineering Dept., Currently with 13 Centre of Mathematics and Computer Science (CWI), Formerly with Boğaziçi University, Kruislaan 413, 1090 GB, Amsterdam, The Netherlands

    Albert Ali Salah

  3. Computer Engineering Dept. Bebek, BoğaziÇi University, TR-34342, Istanbul, Turkey

    Lale Akarun

  4. Institut Eurecom, CMM, 2229 route des Crêtes, B.P. 193, F-06904, Sophia Antipolis, Cedex, France

    Remy Etheve

  5. Universita di Salerno, 84084, Fisciano, Salerno, Italy

    Daniel Riccio

  6. Institut Eurecom, CMM, 2229 route des Crêtes, B.P. 193, F-06904, Sophia Antipolis, Cedex, France

    Jean-Luc Dugelay

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  1. Berk Gökberk
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  2. Albert Ali Salah
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  3. Lale Akarun
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  4. Remy Etheve
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Correspondence to Berk Gökberk .

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  1. Electronics and Physics Department, TELECOM SudParis, France

    Dijana Petrovska-Delacrétaz PhD

  2. Centre National de la Recherche Scientifique (CNRS-LTCI), TELECOM ParisTech, France

    Bernadette Dorizzi (Professor) (Professor)

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Gökberk, B., Ali Salah, A., Akarun, L., Etheve, R., Riccio, D., Dugelay, JL. (2009). 3D Face Recognition. In: Petrovska-Delacrétaz, D., Dorizzi, B., Chollet, G. (eds) Guide to Biometric Reference Systems and Performance Evaluation. Springer, London. https://doi.org/10.1007/978-1-84800-292-0_9

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