Identity-constrained noise modeling with metric learning for face anti-spoofing
Face presentation attack detection (PAD) has become a key component in face-based application systems. Typical face de-spoofing algorithms estimate the noise pattern of a spoof image to detect presentation attacks. These algorithms are device-independent and have good generalization ability. However...
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Published in | Neurocomputing (Amsterdam) Vol. 434; pp. 149 - 164 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
28.04.2021
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Subjects | |
Online Access | Get full text |
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