生物识别
计算机科学
计算机视觉
人工智能
虹膜识别
面子(社会学概念)
光学(聚焦)
领域(数学)
面部识别系统
光场
IRIS(生物传感器)
集合(抽象数据类型)
利用
景深
特征提取
计算机安全
数学
物理
社会学
光学
程序设计语言
纯数学
社会科学
作者
Raghavendra Ramachandra,Kiran Raja,Christoph Busch
标识
DOI:10.1109/tifs.2015.2512559
摘要
A light field sensor can provide useful information in terms of multiple depth (or focus) images, holding additional information that is quite useful for biometric applications. In this paper, we examine the applicability of a light field camera for biometric applications by considering two prominently used biometric characteristics: 1) face and 2) iris. To this extent, we employed a Lytro light field camera to construct two new and relatively large scale databases, for both face and iris biometrics. We then explore the additional information available from different depth images, which are rendered by light field camera, in two different manners: 1) by selecting the best focus image from the set of depth images and 2) combining all the depth images using super-resolution schemes to exploit the supplementary information available within the set elements. Extensive evaluations are carried out on our newly constructed database, demonstrating the significance of using additional information rendered by a light field camera to improve the overall performance of the biometric system.
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