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Proceedings Paper

QUEST hierarchy for hyperspectral face recognition
Author(s): David M. Ryer; Trevor J. Bihl; Kenneth W. Bauer; Steven K. Rogers
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Paper 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.

Paper Details

Date Published: 17 May 2011
PDF: 9 pages
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); doi: 10.1117/12.884082
Show Author Affiliations
David M. Ryer, Air Force Institute of Technology (United States)
Trevor J. Bihl, Air Force Institute of Technology (United States)
Kenneth W. Bauer, Air Force Institute of Technology (United States)
Steven K. Rogers, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 8029:
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
B. V. K. Vijaya Kumar; Sárka O. Southern; Kevin N. Montgomery; Salil Prabhakar; Arun A. Ross; Carl W. Taylor; Bernhard H. Weigl, Editor(s)

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