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3D Face Recognition: Technology and Applications

  • Chapter
Handbook of Remote Biometrics

Part of the book series: Advances in Pattern Recognition ((ACVPR))

Abstract

Abstract 3D face recognition has received a lot of attention in the last decade, leading to improved sensors and algorithms that promise to enable large-scale deployment of biometric systems that rely on this modality. This chapter discusses advances in 3D face recognition with respect to current research and technology trends, together with its open challenges. Five real-world scenarios are described for application of 3D face biometrics. Then we provide a comparative overview of the currently available commercial sensors, and point out to research databases acquired with each technology. The algorithmic aspects of 3D face recognition are broadly covered; we inspect automatic landmarking and automatic registration as sine qua non parts of a complete 3D facial biometric system. We summarize major coordinated actions in evaluating 3D face recognition algorithms, and conclude with a case study on a recent and challenging database.

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Authors and Affiliations

  1. Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands

    Berk Gökberk

  2. Center for Mathematics and Computer Science (CWI), Amsterdam, The Netherlands

    Albert Ali Salah

  3. Computer Engineering Department of Bebek, Boğaziçi University, Istanbul, TR-34342, Turkey

    Neşe Alyüz

  4. Computer Engineering Department of Bebek, Boğaziçi University, Istanbul, TR-34342, Turkey

    Lale Akarun

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  1. Berk Gökberk
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  2. Albert Ali Salah
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  3. Neşe Alyüz
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  4. Lale Akarun
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Correspondence to Berk Gökberk .

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Editors and Affiliations

  1. Universitá of Sassari, Dipto. Architettura e Pianificazione, Piazza Duomo, 6, 07041 Alghero SS, Italy

    Massimo Tistarelli (Prof.) (Prof.)

  2. Chinese Academy of Science Institute of Automation, Center Biometrics Research & Security, Room 1227, Zhongguancun 95, 100080 Beijing, China

    Stan Z. Li

  3. University of Maryland, Center for Automation Research, College Park, MD 20742-3275, USA

    Rama Chellappa

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Gökberk, B., Salah, A.A., Alyüz, N., Akarun, L. (2009). 3D Face Recognition: Technology and Applications. In: Tistarelli, M., Li, S.Z., Chellappa, R. (eds) Handbook of Remote Biometrics. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84882-385-3_9

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