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Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks

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Handbook of Biometric Anti-Spoofing

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

Abstract

With the advanced 3D reconstruction and printing technologies, creating a super-real 3D facial mask becomes feasible at an affordable cost. This brings a new challenge to face presentation attack detection (PAD) against 3D facial mask attack. As such, there is an urgent need to solve this problem as many face recognition systems have been deployed in real-world applications. Since this is a relatively new research problem, few studies has been conducted and reported. In order to attract more attentions on 3D mask face PAD, this book chapter summarizes the progress in the past few years, as well as publicly available datasets. Finally, some open problems in 3D mask attack are discussed.

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Notes

  1. 1.

    www.thatsmyface.com.

  2. 2.

    http://www.morpho.com.

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Acknowledgements

This project is partially supported by Hong Kong RGC General Research Fund HKBU 12201215, Academy of Finland and FiDiPro program of Tekes (project number: 1849/31/2015).

Author information

Authors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong

    Si-Qi Liu & Pong C. Yuen

  2. Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland

    Xiaobai Li & Guoying Zhao

Authors
  1. Si-Qi Liu
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  2. Pong C. Yuen
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  3. Xiaobai Li
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  4. Guoying Zhao
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Corresponding author

Correspondence to Pong C. Yuen .

Editor information

Editors and Affiliations

  1. Idiap Research Institute, Martigny, Switzerland

    Sébastien Marcel

  2. University of Southampton, Southampton, UK

    Mark S. Nixon

  3. Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  4. EURECOM, Biot Sophia Antipolis, France

    Nicholas Evans

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Liu, SQ., Yuen, P.C., Li, X., Zhao, G. (2019). Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks. In: Marcel, S., Nixon, M., Fierrez, J., Evans, N. (eds) Handbook of Biometric Anti-Spoofing. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-92627-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-92627-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92626-1

  • Online ISBN: 978-3-319-92627-8

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