Face Spoofing Detection Based on Multiple Descriptor Fusion Using Multiscale Dynamic Binarized Statistical Image Features-Reference-Cited by-同舟云学术

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Face Spoofing Detection Based on Multiple Descriptor Fusion Using Multiscale Dynamic Binarized Statistical Image Features

Published:2015-11 Issue:11 Volume:10 Page:2396-2407
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Arashloo Shervin Rahimzadeh,Kittler Josef,Christmas William

Funder

European Union Project Beat

Engineering and Physical Sciences Research Council/Defence Science and Technology Laboratory Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/7235010/07163625.pdf?arnumber=7163625

Cited by 59 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Fusion-Based Deep Neural Networks Approach for Face Liveness Detection;2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA);2023-09-20

2. Multiscale residual gradient attention for face anti-spoofing;Journal of Visual Communication and Image Representation;2023-09

3. Deep Learning Based Facial Obfuscation Using MobileNet;2023 World Conference on Communication & Computing (WCONF);2023-07-14

4. Transfer learning for face anti-spoofing detection;IEEE Latin America Transactions;2023-04

5. A survey on face presentation attack detection mechanisms: hitherto and future perspectives;Multimedia Systems;2023-03-20

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