Modern Control Systems
The Imaging Issue in an Automatic Face/Disguise Detection System
CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Face Recognition in Hyperspectral Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
Random Subspaces and Subsampling for 2-D Face Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Journal of Cognitive Neuroscience
Cross-Spectral Face Verification in the Short Wave Infrared (SWIR) Band
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Heterogeneous Face Recognition: Matching NIR to Visible Light Images
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
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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 fromsubjective 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.