@inbook{46381a72e91f4268b195f8b5e61a081d,
title = "Recent Progress on Face Presentation Attack Detection of 3D Mask Attack",
abstract = "With the development of 3D reconstruction and 3D printing technologies, customizing super-real 3D facial mask at an affordable cost becomes feasible, which brings a big challenge to face presentation attack detection (PAD). With the boosting of face recognition application in wide scenarios, there is an urgent need to solve the 3D facial mask attack problem. Since this appearance and material of 3D masks could vary in a much larger range compared with traditional 2D attacks, 2D face PAD solutions introduced in previous chapters may not work any longer. In order to attract more attention to 3D mask face PAD, this book chapter summarizes the progress in the past few years, as well as publicly available datasets. Finally, open problems and possible future directions are discussed.",
author = "Liu, {Si Qi} and Yuen, {Pong C.}",
note = "This project is partially supported by Hong Kong RGC General Research Fund HKBU 12200820. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.",
year = "2023",
month = feb,
day = "23",
doi = "10.1007/978-981-19-5288-3_10",
language = "English",
isbn = "9789811952876",
series = "Advances in Computer Vision and Pattern Recognition",
publisher = "Springer",
pages = "231--259",
editor = "S{\'e}bastien Marcel and Julian Fierrez and Nicholas Evans",
booktitle = "Handbook of Biometric Anti-Spoofing",
edition = "3rd",
}