Abstract
Face anti-spoofing detection gains more and more attention, and due to some attacks like spoofing image, spoofing video and 3D masks etc. in security sensitive area, it has being widely used in industries in China. In this work, we summarize the traditional and recent methods proposed in the area of face anti-spoofing and divide them into three main categories, which are feature based methods, deep learning based methods and other methods. In addition, we also compare the performance of these methods and investigate the application of some famous Chinese enterprises. Finally, we provide an outlook into the future of this field of research.
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Acknowledgement
This work is supported by two funding: the 13th Five-Year Plan of Education Science in Guangdong Province in 2017 (Contextual Moral Education Game Oriented to Collaborative Construction and Its Application, No. 2017JKDY43) and the Guangdong Postgraduate Education Innovation Project in 2018 (New Media and New Technologies in eLearning).
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Wu, B., Pan, M., Zhang, Y. (2020). A Review of Face Anti-spoofing and Its Applications in China. In: Kim, J., Geem, Z., Jung, D., Yoo, D., Yadav, A. (eds) Advances in Harmony Search, Soft Computing and Applications. ICHSA 2019. Advances in Intelligent Systems and Computing, vol 1063. Springer, Cham. https://doi.org/10.1007/978-3-030-31967-0_4
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DOI: https://doi.org/10.1007/978-3-030-31967-0_4
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