Face Anti-Spoofing with Human Material Perception

07/04/2020
by   Zitong Yu, et al.
0

Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from presentation attacks. Most existing FAS methods capture various cues (e.g., texture, depth and reflection) to distinguish the live faces from the spoofing faces. All these cues are based on the discrepancy among physical materials (e.g., skin, glass, paper and silicone). In this paper we rephrase face anti-spoofing as a material recognition problem and combine it with classical human material perception [1], intending to extract discriminative and robust features for FAS. To this end, we propose the Bilateral Convolutional Networks (BCN), which is able to capture intrinsic material-based patterns via aggregating multi-level bilateral macro- and micro- information. Furthermore, Multi-level Feature Refinement Module (MFRM) and multi-head supervision are utilized to learn more robust features. Comprehensive experiments are performed on six benchmark datasets, and the proposed method achieves superior performance on both intra- and cross-dataset testings. One highlight is that we achieve overall 11.3±9.5% EER for cross-type testing in SiW-M dataset, which significantly outperforms previous results. We hope this work will facilitate future cooperation between FAS and material communities.

READ FULL TEXT

page 5

page 14

research
11/28/2020

Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing

Face anti-spoofing (FAS) seeks to discriminate genuine faces from fake o...
research
02/21/2022

Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing

Although previous CNN based face anti-spoofing methods have achieved pro...
research
03/29/2018

Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision

Face anti-spoofing is the crucial step to prevent face recognition syste...
research
03/09/2020

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Face anti-spoofing (FAS) plays a vital role in face recognition systems....
research
03/27/2022

PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition

Face anti-spoofing (FAS) plays a critical role in securing face recognit...
research
05/04/2021

Dual-Cross Central Difference Network for Face Anti-Spoofing

Face anti-spoofing (FAS) plays a vital role in securing face recognition...
research
08/27/2018

Discriminative Representation Combinations for Accurate Face Spoofing Detection

Three discriminative representations for face presentation attack detect...

Please sign up or login with your details

Forgot password? Click here to reset