生物识别技术的未来:从人脸识别到相关应用

Hitoshi Imaoka, H. Hashimoto, Koichi Takahashi, Akinori F. Ebihara, Jianquan Liu, Akihiro Hayasaka, Yusuke Morishita, K. Sakurai
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引用次数: 9

摘要

随着最近的信息化和网络服务的普及,生物识别技术因其方便性在现代社会中变得更加重要。在这些技术中,人脸识别是最方便和实用的技术之一,因为它可以在不需要手动进行任何身份验证操作的情况下进行远程身份验证。据我们所知,人脸识别容易受到衰老、周围光线和姿势导致的人脸外观变化的影响。有许多技术挑战需要解决。最近,由于深度学习方法的出现,已经取得了显著的进展。在本文中,我们对人脸识别技术进行了概述,并介绍了其相关应用,包括人脸呈现攻击检测、凝视估计、人脸重新识别和图像数据挖掘。我们还讨论了仍然需要解决的研究挑战。
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The future of biometrics technology: from face recognition to related applications
Biometric recognition technologies have become more important in the modern society due to their convenience with the recent informatization and the dissemination of network services. Among such technologies, face recognition is one of the most convenient and practical because it enables authentication from a distance without requiring any authentication operations manually. As far as we know, face recognition is susceptible to the changes in the appearance of faces due to aging, the surrounding lighting, and posture. There were a number of technical challenges that need to be resolved. Recently, remarkable progress has been made thanks to the advent of deep learning methods. In this position paper, we provide an overview of face recognition technology and introduce its related applications, including face presentation attack detection, gaze estimation, person re-identification and image data mining. We also discuss the research challenges that still need to be addressed and resolved.
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来源期刊
APSIPA Transactions on Signal and Information Processing
APSIPA Transactions on Signal and Information Processing ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
8.60
自引率
6.20%
发文量
30
审稿时长
40 weeks
期刊最新文献
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