Face recognition with intensified NIR imagery

Diego A. Socolinsky; Lawrence B. Wolff; Andrew J. Lundberg

doi:10.1117/12.665532

17 April 2006 Face recognition with intensified NIR imagery

Diego A. Socolinsky, Lawrence B. Wolff, Andrew J. Lundberg

Proceedings Volume 6202, Biometric Technology for Human Identification III; 620203 (2006) https://doi.org/10.1117/12.665532
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

Diego A. Socolinsky, Lawrence B. Wolff, and Andrew J. Lundberg "Face recognition with intensified NIR imagery", Proc. SPIE 6202, Biometric Technology for Human Identification III, 620203 (17 April 2006); https://doi.org/10.1117/12.665532

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