3D Face Anti-spoofing with Factorized Bilinear Coding

05/12/2020
by   Shan Jia, et al.
1

We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. When compared with widely studied 2D face presentation attacks, 3D face spoofing attacks are more challenging because face recognition systems (FRS) are more easily confused by the 3D characteristics of materials similar to real faces. In this work, we tackle the problem of detecting these realistic 3D face presentation attacks, and propose a novel anti-spoofing method from the perspective of fine-grained classification. Our method, based on factorized bilinear coding of multiple color channels (namely MC_FBC), targets at learning subtle visual differences between real and fake images. By extracting discriminative and fusing complementary information from RGB and YCbCr spaces, we have developed a principled solution to 3D face spoofing detection. A large-scale wax figure face database (WFFD) with both still and moving wax faces has also been collected as super-realistic attacks to facilitate the study of 3D face PAD. Extensive experimental results show that our proposed method achieves the state-of-the-art performance on both our own WFFD and other face spoofing databases under various intra-database and inter-database testing scenarios.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 8

research
10/12/2019

Spoofing and Anti-Spoofing with Wax Figure Faces

We have witnessed rapid advances in both face presentation attack models...
research
04/05/2019

Deep Tree Learning for Zero-shot Face Anti-Spoofing

Face anti-spoofing is designed to keep face recognition systems from rec...
research
08/23/2023

Saliency-based Video Summarization for Face Anti-spoofing

Due to the growing availability of face anti-spoofing databases, researc...
research
10/22/2021

Spoofing Detection on Hand Images Using Quality Assessment

Recent research on biometrics focuses on achieving a high success rate o...
research
01/17/2019

Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing

Face anti-spoofing (a.k.a presentation attack detection) has drawn growi...
research
06/30/2020

Can Your Face Detector Do Anti-spoofing? Face Presentation Attack Detection with a Multi-Channel Face Detector

In a typical face recognition pipeline, the task of the face detector is...
research
08/28/2022

Face Anti-Spoofing from the Perspective of Data Sampling

Without deploying face anti-spoofing countermeasures, face recognition s...

Please sign up or login with your details

Forgot password? Click here to reset