Next Article in Journal
Long-Term Activity Recognition from Wristwatch Accelerometer Data
Previous Article in Journal
RESTful M2M Gateway for Remote Wireless Monitoring for District Central Heating Networks
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(12), 22471-22499;

Face Liveness Detection Using a Light Field Camera

Department of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-Dong, Seodaemun-Gu, Seoul 120-749, Korea
Author to whom correspondence should be addressed.
Received: 2 June 2014 / Revised: 4 November 2014 / Accepted: 14 November 2014 / Published: 27 November 2014
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [17112 KB, uploaded 27 November 2014]


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. View Full-Text
Keywords: light field camera; face spoofing; face liveness; microlens image; sub-aperture image light field camera; face spoofing; face liveness; microlens image; sub-aperture image
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Kim, S.; Ban, Y.; Lee, S. Face Liveness Detection Using a Light Field Camera. Sensors 2014, 14, 22471-22499.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top