Improving Monocular Facial Presentation–Attack–Detection Robustness with Synthetic Noise Augmentations

We present a synthetic augmentation approach towards improving monocular face presentation–attack–detection (PAD) robustness to real-world noise additions. Face PAD algorithms secure authentication systems against spoofing attacks, such as pictures, videos, and 2D-inspired masks. Best-in-class PAD m...

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Detalles Bibliográficos
Autores principales: Hassani, Ali, Diedrich, Jon, Malik, Hafiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649864/
https://www.ncbi.nlm.nih.gov/pubmed/37960613
http://dx.doi.org/10.3390/s23218914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649864/
https://www.ncbi.nlm.nih.gov/pubmed/37960613
http://dx.doi.org/10.3390/s23218914

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