-
On the effectiveness of local binary patterns in face anti-spoofing
On the effectiveness of local binary patterns in face anti-spoofing. -
A face anti-spoofing database with diverse attacks
A face anti-spoofing database with diverse attacks, including warped photo, cut photo, and video attacks. -
SiW Database
Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and... -
Oulu-NPU Database
Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and... -
CASIA-MFSD Database
Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and... -
Replay-Attack Database
Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and... -
Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
Face anti-spoofing is an important task to protect the se–curity of face recognition. Most of previous work either struggle to capture discriminative and generalizable fea–ture... -
Color Image Processing: Methods and Applications
Color Image Processing: Methods and Applications -
Using colour local binary pattern features for face recognition
Using colour local binary pattern features for face recognition -
Face liveness detection using dynamic texture
Face liveness detection using dynamic texture -
Face liveness detection with component dependent descriptor
Face liveness detection with component dependent descriptor -
Face anti-spoofing based on general image quality assessment
Face anti-spoofing based on general image quality assessment -
A face antispoofing database with diverse attacks
Face anti-spoofing database with diverse attacks -
Face Anti-Spoofing Based on Color Texture Analysis
Real face anti-spoofing based on color texture analysis -
Flexible-modal face anti-spoofing: A benchmark
Flexible-modal face anti-spoofing: A benchmark -
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statis...
Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces. State-of-the-art FAS techniques predominantly rely on... -
MSU Mobile Face Spoofing Database
The MSU Mobile Face Spoofing Database (MFSD) is a benchmark dataset for face anti-spoofing. It consists of 8 videos of 35 subjects. The video frames are extracted, face... -
Sodec Real-World dataset
The Sodec Real-World dataset has been collected to simulate the real-world presentation attack scenarios. It contains more than 51k frames of 31 different subjects. -
SiW dataset
The SiW dataset is one of the largest high-quality antispoofing datasets. It has over 4400 videos of 165 subjects collected over 4 different sessions.
