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使用光场相机进行人脸活体检测。

Face liveness detection using a light field camera.

作者信息

Kim Sooyeon, Ban Yuseok, Lee Sangyoun

机构信息

Department of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-Dong, Seodaemun-Gu, Seoul 120-749, Korea.

出版信息

Sensors (Basel). 2014 Nov 27;14(12):22471-99. doi: 10.3390/s141222471.

Abstract

A light field camera is a sensor that can record the directions as well as the colors of incident rays. This camera is widely utilized from 3D reconstruction to face and iris recognition. In this paper, we suggest a novel approach for defending spoofing face attacks, like printed 2D facial photos (hereinafter 2D photos) and HD tablet images, using the light field camera. By viewing the raw light field photograph from a different standpoint, we extract two special features which cannot be obtained from the conventional camera. To verify the performance, we compose light field photograph databases and conduct experiments. Our proposed method achieves at least 94.78% accuracy or up to 99.36% accuracy under different types of spoofing attacks.

摘要

光场相机是一种能够记录入射光线方向和颜色的传感器。这种相机在从三维重建到面部和虹膜识别等领域都有广泛应用。在本文中,我们提出了一种新颖的方法,利用光场相机来抵御诸如打印的二维面部照片(以下简称二维照片)和高清平板图像等欺骗性面部攻击。通过从不同角度查看原始光场照片,我们提取了两个传统相机无法获得的特殊特征。为了验证性能,我们构建了光场照片数据库并进行实验。我们提出的方法在不同类型的欺骗性攻击下,准确率至少达到94.78%,最高可达99.36%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b417/4299023/7bde4b7f423a/sensors-14-22471f1.jpg

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引用本文的文献

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本文引用的文献

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