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QUEST Hierarchy for Hyperspectral Face Recognition
Joint Authors
Bihl, Trevor J.
Bauer, Kenneth W.
Ryer, David M.
Rogers, Steven K.
Source
Advances in Artificial Intelligence
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-08
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A qualia exploitation of sensor technology (QUEST) motivated architecture using algorithm fusion and adaptive feedback loops for face recognition for hyperspectral imagery (HSI) is presented.
QUEST seeks to develop a general purpose computational intelligence system that captures the beneficial engineering aspects of qualia-based solutions.
Qualia-based approaches are constructed from subjective representations and have the ability to detect, distinguish, and characterize entities in the environment Adaptive feedback loops are implemented that enhance performance by reducing candidate subjects in the gallery and by injecting additional probe images during the matching process.
The architecture presented provides a framework for exploring more advanced integration strategies beyond those presented.
Algorithmic results and performance improvements are presented as spatial, spectral, and temporal effects are utilized; additionally, a Matlab-based graphical user interface (GUI) is developed to aid processing, track performance, and to display results.
American Psychological Association (APA)
Ryer, David M.& Bihl, Trevor J.& Bauer, Kenneth W.& Rogers, Steven K.. 2012. QUEST Hierarchy for Hyperspectral Face Recognition. Advances in Artificial Intelligence،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-454178
Modern Language Association (MLA)
Ryer, David M.…[et al.]. QUEST Hierarchy for Hyperspectral Face Recognition. Advances in Artificial Intelligence No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-454178
American Medical Association (AMA)
Ryer, David M.& Bihl, Trevor J.& Bauer, Kenneth W.& Rogers, Steven K.. QUEST Hierarchy for Hyperspectral Face Recognition. Advances in Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-454178
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454178