QUEST hierarchy for hyperspectral face recognition

David M. Ryer; Trevor J. Bihl; Kenneth W. Bauer; Steven K. Rogers

doi:10.1117/12.884082

17 May 2011 QUEST hierarchy for hyperspectral face recognition

David M. Ryer, Trevor J. Bihl, Kenneth W. Bauer, Steven K. Rogers

Proceedings Volume 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII; 80291M (2011) https://doi.org/10.1117/12.884082
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

A face recognition methodology employing an efficient fusion hierarchy for hyperspectral imagery (HSI) is presented. A Matlab-based graphical user interface (GUI) is developed to aid processing, track performance and to display results. The incorporation of adaptive feedback loops enhance performance through the reduction of candidate subjects in the gallery as well as the injection of additional probe images during the matching process. Algorithmic results and performance improvements are presented as spatial, spectral, and temporal effects are utilized in this Qualia Exploitation of Sensor Technology (QUEST) motivated methodology.

Citation Download Citation

David M. Ryer, Trevor J. Bihl, Kenneth W. Bauer, and Steven K. Rogers "QUEST hierarchy for hyperspectral face recognition", Proc. SPIE 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII, 80291M (17 May 2011); https://doi.org/10.1117/12.884082

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