CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242654
Abstract: Face anti-spoofing (FAS) is a technology that protects face recognition systems from presentation attacks. The current challenge faced by FAS studies is the difficulty in creating a generalized light variation model. This is because face… read more here.
Keywords: cloudnet; anti spoofing; model; face anti ... See more keywords
Learning Multi-Granularity Temporal Characteristics for Face Anti-Spoofing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3158062
Abstract: Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the decent performance, few existing works fully leverage temporal information. This would inevitably lead to inferior performance because real and fake faces tend to… read more here.
Keywords: multi granularity; face anti; granularity temporal; temporal characteristics ... See more keywords
Spoof Trace Disentanglement for Generic Face Anti-Spoofing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3176387
Abstract: Prior studies show that the key to face anti-spoofing lies in the subtle image patterns, termed “spoof trace,” e.g., color distortion, 3D mask edge, and Moiré pattern. Spoof detection rooted on those spoof traces can… read more here.
Keywords: spoof; spoof traces; spoof trace; trace ... See more keywords
Face anti-spoofing with local difference network and binary facial mask supervision
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.31.1.013007
Abstract: Abstract. Face anti-spoofing (FAS) is crucial for safe and reliable biometric systems. In recent years, deep neural networks have been proven to be very effective for FAS as compared with classical approaches. However, deep learning-based… read more here.
Keywords: difference network; face anti; anti spoofing; binary facial ... See more keywords