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pro vyhledávání: '"Face presentation"'
Autor:
Ramachandra, Raghavendra, Vetrekar, Narayan, Venkatesh, Sushma, Nageshker, Savita, Singh, Jag Mohan, Gad, R. S.
Facial biometrics are an essential components of smartphones to ensure reliable and trustworthy authentication. However, face biometric systems are vulnerable to Presentation Attacks (PAs), and the availability of more sophisticated presentation atta
Externí odkaz:
http://arxiv.org/abs/2404.12680
Akademický článek
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Autor:
Fang, Meiling, Huber, Marco, Fierrez, Julian, Ramachandra, Raghavendra, Damer, Naser, Alkhaddour, Alhasan, Kasantcev, Maksim, Pryadchenko, Vasiliy, Yang, Ziyuan, Huangfu, Huijie, Chen, Yingyu, Zhang, Yi, Pan, Yuchen, Jiang, Junjun, Liu, Xianming, Sun, Xianyun, Wang, Caiyong, Liu, Xingyu, Chang, Zhaohua, Zhao, Guangzhe, Tapia, Juan, Gonzalez-Soler, Lazaro, Aravena, Carlos, Schulz, Daniel
This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition attract
Externí odkaz:
http://arxiv.org/abs/2311.05336
Publikováno v:
Application Research of Computers / Jisuanji Yingyong Yanjiu. Mar2024, Vol. 41 Issue 3, p916-922. 7p.
Presentation Attack Detection (PAD) has been extensively studied, particularly in the visible spectrum. With the advancement of sensing technology beyond the visible range, multispectral imaging has gained significant attention in this direction. We
Externí odkaz:
http://arxiv.org/abs/2311.11566
Evaluating the risk level of adversarial images is essential for safely deploying face authentication models in the real world. Popular approaches for physical-world attacks, such as print or replay attacks, suffer from some limitations, like includi
Externí odkaz:
http://arxiv.org/abs/2311.11753
Facial biometrics are widely deployed in smartphone-based applications because of their usability and increased verification accuracy in unconstrained scenarios. The evolving applications of smartphone-based facial recognition have also increased Pre
Externí odkaz:
http://arxiv.org/abs/2309.13704
Autor:
Fang, Meiling, Damer, Naser
Recent face presentation attack detection (PAD) leverages domain adaptation (DA) and domain generalization (DG) techniques to address performance degradation on unknown domains. However, DA-based PAD methods require access to unlabeled target data, w
Externí odkaz:
http://arxiv.org/abs/2308.14551