Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing
Heng Cong, Rongyu Zhang, Jiarong He, Jin Gao · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering · 2022
Face anti-spoofing researches are widely used in face recognition and has received more attention from industry and academics.In this paper, we propose the EulerNet, a new temporal feature fusion network in which the differential filter and residual pyramid are used to extract and amplify abnormal clues from continuous frames, respectively.A lightweight sample labeling method based on face landmarks is designed to label large-scale samples at a lower cost and has better results than other methods such as 3D camera.Finally, we collect 30,000 live and spoofing samples using various mobile ends to create a dataset that replicates various forms of attacks in a real-world setting.Extensive experiments on public OULU-NPU show that our algorithm is superior to the state of art and our solution has already been deployed in real-world systems servicing millions of users.