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Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
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 …
Cfpl-fas: Class free prompt learning for generalizable face anti-spoofing
Abstract Domain generalization (DG) based Face Anti-Spoofing (FAS) aims to improve the
model's performance on unseen domains. Existing methods either rely on domain labels to …
model's performance on unseen domains. Existing methods either rely on domain labels to …
Non-contrastive unsupervised learning of physiological signals from video
Subtle periodic signals such as blood volume pulse and respiration can be extracted from
RGB video, enabling noncontact health monitoring at low cost. Advancements in remote …
RGB video, enabling noncontact health monitoring at low cost. Advancements in remote …
Towards effective adversarial textured 3d meshes on physical face recognition
Face recognition is a prevailing authentication solution in numerous biometric applications.
Physical adversarial attacks, as an important surrogate, can identify the weaknesses of face …
Physical adversarial attacks, as an important surrogate, can identify the weaknesses of face …
Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations
As facial interaction systems are prevalently deployed, security and reliability of these
systems become a critical issue, with substantial research efforts devoted. Among them, face …
systems become a critical issue, with substantial research efforts devoted. Among them, face …
Deep tree learning for zero-shot face anti-spoofing
Face anti-spoofing is designed to keep face recognition systems from recognizing fake faces
as the genuine users. While advanced face anti-spoofing methods are developed, new …
as the genuine users. While advanced face anti-spoofing methods are developed, new …
Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing
Face anti-spoofing is essential to prevent face recognition systems from a security breach.
Much of the progresses have been made by the availability of face anti-spoofing benchmark …
Much of the progresses have been made by the availability of face anti-spoofing benchmark …
Contrastive context-aware learning for 3d high-fidelity mask face presentation attack detection
Face presentation attack detection (PAD) is essential to secure face recognition systems
primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from …
primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from …
Surveillance face anti-spoofing
Face Anti-spoofing (FAS) is essential to secure face recognition systems from various
physical attacks. However, recent research generally focuses on short-distance applications …
physical attacks. However, recent research generally focuses on short-distance applications …