A Face in any Form: New Challenges and Opportunities for Face Recognition Technology

被引：32

作者：

Akhtar, Zahid ^{[1
]}

Rattani, Ajita ^{[2
]}

机构：

[1] Univ Udine, Dept Math & Comp Sci, Udine, Italy

[2] Univ Missouri, Dept Comp Sci & Elect Engn, Columbia, MO 65211 USA

来源：

COMPUTER | 2017年 / 50卷 / 04期

关键词：

biometrics; data analysis; face detection; face recognition; face recognition system; FRS; privacy; security;

D O I：

10.1109/MC.2017.119

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Despite new technologies that make face detection and recognition more sophisticated, long-recognized problems in security, privacy, and accuracy persist. Refining this technology and introducing it into new domains will require solving these problems through focused interdisciplinary efforts among developers, researchers, and policymakers.

引用

收藏

页码：80 / 90

页数：11

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