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A survey on anti-spoofing methods for facial recognition with rgb cameras of generic consumer devices
The widespread deployment of facial recognition-based biometric systems has made facial
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …
Cross‐ethnicity face anti‐spoofing recognition challenge: A review
Face anti‐spoofing is critical to prevent face recognition systems from a security breach. The
biometrics community has achieved impressive progress recently due to the excellent …
biometrics community has achieved impressive progress recently due to the excellent …
Searching central difference convolutional networks for face anti-spoofing
Face anti-spoofing (FAS) plays a vital role in face recognition systems. Most state-of-the-art
FAS methods 1) rely on stacked convolutions and expert-designed network, which is weak …
FAS methods 1) rely on stacked convolutions and expert-designed network, which is weak …
Learning deep models for face anti-spoofing: Binary or auxiliary supervision
Face anti-spoofing is crucial to prevent face recognition systems from a security breach.
Previous deep learning approaches formulate face anti-spoofing as a binary classification …
Previous deep learning approaches formulate face anti-spoofing as a binary classification …
NAS-FAS: Static-dynamic central difference network search for face anti-spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing
methods heavily rely on the expert-designed networks, which may lead to a sub-optimal …
methods heavily rely on the expert-designed networks, which may lead to a sub-optimal …
Biometric face presentation attack detection with multi-channel convolutional neural network
Face recognition is a mainstream biometric authentication method. However, the
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …
Deep spatial gradient and temporal depth learning for face anti-spoofing
Face anti-spoofing is critical to the security of face recognition systems. Depth supervised
learning has been proven as one of the most effective methods for face anti-spoofing …
learning has been proven as one of the most effective methods for face anti-spoofing …
Face anti-spoofing: Model matters, so does data
Face anti-spoofing is an important task in full-stack face applications including face
detection, verification, and recognition. Previous approaches build models on datasets …
detection, verification, and recognition. Previous approaches build models on datasets …
Face de-spoofing: Anti-spoofing via noise modeling
Many prior face anti-spoofing works develop discriminative models for recognizing the
subtle differences between live and spoof faces. Those approaches often regard the image …
subtle differences between live and spoof faces. Those approaches often regard the image …
Deep pixel-wise binary supervision for face presentation attack detection
Face recognition has evolved as a prominent biometric authentication modality. However,
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …