PARTIAL FACE DETECTION FOR CONTINUOUS AUTHENTICATION

被引：0

作者：

Mahbub, Upal ^{[1
,2
]}

Patel, Vishal M. ^{[3
]}

Chandra, Deepak ^{[4
]}

Barbello, Brandon ^{[4
]}

Chellappa, Rama ^{[1
,2
]}

机构：

[1] Univ Maryland, UMIACS, Dept Elect & Comp Engn, College Pk, MD 20742 USA

[2] Univ Maryland, UMIACS, Ctr Automat Res, College Pk, MD 20742 USA

[3] Rutgers State Univ, 723 CoRE,94 Brett Rd, Piscataway, NJ 08854 USA

[4] Google Inc, 1600 Amphitheatre Pkway, Mountain View, CA 94043 USA

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2016年

关键词：

Active authentication; smartphone front-camera images processing; facial segments; partial face detection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a part-based technique for real time detection of users' faces on mobile devices is proposed. This method is specifically designed for detecting partially cropped and occluded faces captured using a smartphone's front-facing camera for continuous authentication. The key idea is to detect facial segments in the frame and cluster the results to obtain the region which is most likely to contain a face. Extensive experimentation on a mobile dataset of 50 users shows that our method performs better than many state-of-the-art face detection methods in terms of accuracy and processing speed.

引用

页码：2991 / 2995

页数：5

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