Face Anti-Spoofing from the Perspective of Data Sampling

08/28/2022
by   Usman Muhammad, et al.
0

Without deploying face anti-spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user. Thus, face presentation attack detection (PAD) plays a vital role in providing secure facial access to digital devices. Most existing video-based PAD countermeasures lack the ability to cope with long-range temporal variations in videos. Moreover, the key-frame sampling prior to the feature extraction step has not been widely studied in the face anti-spoofing domain. To mitigate these issues, this paper provides a data sampling approach by proposing a video processing scheme that models the long-range temporal variations based on Gaussian Weighting Function. Specifically, the proposed scheme encodes the consecutive t frames of video sequences into a single RGB image based on a Gaussian-weighted summation of the t frames. Using simply the data sampling scheme alone, we demonstrate that state-of-the-art performance can be achieved without any bells and whistles in both intra-database and inter-database testing scenarios for the three public benchmark datasets; namely, Replay-Attack, MSU-MFSD, and CASIA-FASD. In particular, the proposed scheme provides a much lower error (from 15.2 to 4.9

READ FULL TEXT
research
09/10/2023

Semi-Supervised learning for Face Anti-Spoofing using Apex frame

Conventional feature extraction techniques in the face anti-spoofing dom...
research
07/06/2023

Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing

Face presentation attacks (PA), also known as spoofing attacks, pose a s...
research
05/12/2020

3D Face Anti-spoofing with Factorized Bilinear Coding

We have witnessed rapid advances in both face presentation attack models...
research
08/23/2023

Saliency-based Video Summarization for Face Anti-spoofing

Due to the growing availability of face anti-spoofing databases, researc...
research
08/09/2021

Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing

Face anti-spoofing is an important task to protect the security of face ...
research
08/27/2022

Self-Supervised Face Presentation Attack Detection with Dynamic Grayscale Snippets

Face presentation attack detection (PAD) plays an important role in defe...
research
04/15/2023

Surveillance Face Presentation Attack Detection Challenge

Face Anti-spoofing (FAS) is essential to secure face recognition systems...

Please sign up or login with your details

Forgot password? Click here to reset