CFF: a cross-regional feature fusion network for face anti-spoofing

Haohai Wu; Qianyu Yu; Shaohao Xie; Haoxin Luo; Jubin Huang; Kaibin Xu

doi:10.1117/12.3012468

21 December 2023 CFF: a cross-regional feature fusion network for face anti-spoofing

Haohai Wu, Qianyu Yu, Shaohao Xie, Haoxin Luo, Jubin Huang, Kaibin Xu

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129703T (2023) https://doi.org/10.1117/12.3012468
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

With the rapid advancement of artificial intelligence, facial recognition technology has permeated various domains, revolutionizing our daily lives. However, this convenience comes hand in hand with security concerns. The emergence of facial spoofing attacks has raised serious issues concerning information security, financial integrity, and personal safety. To mitigate the risks associated with facial spoofing attacks, this research paper proposes innovative approaches and strategies to tackle this problem. To solve the problem of face spoofing attacks, the following work is proposed in this paper. Firstly, this work presents a novel framework named self-adaptive feature enhancement for FAS. This framework used RGB, depth, and reflection channels together by a feature extractor module. What’s more, this paper proposed a Cross-regional Feature Fusion (CFF) network, which added self-attention from vision transformer to improve the classification efficiency. Finally, the effectiveness of the proposed approaches and strategies is demonstrated through experimental results. The conducted experiments on several public datasets validate the success and performance of this research work.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haohai Wu, Qianyu Yu, Shaohao Xie, Haoxin Luo, Jubin Huang, and Kaibin Xu "CFF: a cross-regional feature fusion network for face anti-spoofing", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129703T (21 December 2023); https://doi.org/10.1117/12.3012468

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