A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios

A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios

Face Anti-spoofing (FAS) is a challenging problem due to complex serving scenarios and diverse face presentation attack patterns. Especially when captured images are low-resolution, blurry, and coming from different domains, the performance of FAS will degrade significantly. The existing multi-modal...

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Bibliographic Details
Main Authors: Xudong Chen, Shugong Xu, Qiaobin Ji, Shan Cao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Face anti-spoofing
multi-modal
surveillance scenarios
cross domain
Online Access:https://ieeexplore.ieee.org/document/9328436/

Internet

https://ieeexplore.ieee.org/document/9328436/

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