A review of convolutional neural network architectures and their optimizations
The research advances concerning the typical architectures of convolutional neural
networks (CNNs) as well as their optimizations are analyzed and elaborated in detail in this …
networks (CNNs) as well as their optimizations are analyzed and elaborated in detail in this …
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 …
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 …
Capsule-forensics: Using capsule networks to detect forged images and videos
Recent advances in media generation techniques have made it easier for attackers to create
forged images and videos. State-of-the-art methods enable the real-time creation of a forged …
forged images and videos. State-of-the-art methods enable the real-time creation of a forged …
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 …
Face spoof detection with image distortion analysis
Automatic face recognition is now widely used in applications ranging from deduplication of
identity to authentication of mobile payment. This popularity of face recognition has raised …
identity to authentication of mobile payment. This popularity of face recognition has raised …
Deep learning for face anti-spoofing: A survey
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …
securing face recognition systems from presentation attacks (PAs). As more and more …
Face anti-spoofing using patch and depth-based CNNs
The face image is the most accessible biometric modality which is used for highly accurate
face recognition systems, while it is vulnerable to many different types of presentation …
face recognition systems, while it is vulnerable to many different types of presentation …
OULU-NPU: A mobile face presentation attack database with real-world variations
The vulnerabilities of face-based biometric systems to presentation attacks have been finally
recognized but yet we lack generalized software-based face presentation attack detection …
recognized but yet we lack generalized software-based face presentation attack detection …
Face spoofing detection using colour texture analysis
Research on non-intrusive software-based face spoofing detection schemes has been
mainly focused on the analysis of the luminance information of the face images, hence …
mainly focused on the analysis of the luminance information of the face images, hence …