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Proceedings Paper

Face recognition with intensified NIR imagery
Author(s): Diego A. Socolinsky; Lawrence B. Wolff; Andrew J. Lundberg
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Paper Abstract

This paper presents a systematic study of face recognition performance as a function of light level using intensified near infrared imagery. This technology is the most prevalent in both civilian and military night vision equipment, and provides enough intensification for human operators to perform standard tasks under extremely low-light conditions. We describe a comprehensive data collection effort undertaken by the authors to image subjects under carefully controlled illumination and quantify the performance of standard face recognition algorithms on visible and intensified imagery as a function of light level. Performance comparisons for automatic face recognition are reported using the standardized implementations from the CSU Face Identification Evaluation System. The results contained in this paper should constitute the initial step for analysis and deployment of face recognition systems designed to work in low-light level conditions.

Paper Details

Date Published: 17 April 2006
PDF: 11 pages
Proc. SPIE 6202, Biometric Technology for Human Identification III, 620203 (17 April 2006); doi: 10.1117/12.665532
Show Author Affiliations
Diego A. Socolinsky, Equinox Corp. (United States)
Lawrence B. Wolff, Equinox Corp. (United States)
Andrew J. Lundberg, Equinox Corp. (United States)

Published in SPIE Proceedings Vol. 6202:
Biometric Technology for Human Identification III
Patrick J. Flynn; Sharath Pankanti, Editor(s)

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