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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. -
OULU-NPU dataset
The OULU-NPU dataset is a high resolution antispoofing dataset. It has over 5900 videos of 55 subjects. The dataset has both print and replay attacks with two printers and two... -
Replay-Mobile dataset
The Replay-Mobile dataset consists of 1190 video clips of 40 subjects. It contains paper and replay presentation attacks under five different lighting conditions. -
Shuffled Patch-Wise Supervision for Presentation Attack Detection
Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person’s face. Most of the... -
Idiap Replay-Attack
Idiap Replay-Attack is a benchmark dataset for face anti-spoofing. -
Generative Domain Adaptation for Face Anti-Spoofing
Face anti-spoofing (FAS) approaches based on unsupervised domain adaptation (UDA) have drawn growing attention due to promising performances for target scenarios. -
CASIA-MFSD
Face presentation attack detection using video-based methods that analyze facial motion in successive video frames.
