Quest Hierarchy for Hyperspectral Face Recognition (Paperback) (ISBN-13: 9781288368662)

Face recognition is an attractive biometric due to the ease in which photographs of the human face can be acquired and processed. The non-intrusive ability of many surveillance systems permits face recognition applications to be used in a myriad of environments. Despite decades of impressive research in this area, face recognition still struggles with variations in illumination, pose and expression not to mention the larger challenge of willful circumvention. The integration of supporting contextual information in a fusion hierarchy known as QUalia Exploitation of Sensor Technology (QUEST) is a novel approach for hyperspectral face recognition that results in performance advantages and a robustness not seen in leading face recognition methodologies.This research demonstrates a method for the exploitation of hyperspectral imagery and the intelligent processing of contextual layers of spatial, spectral, and temporal information. This approach illustrates the benefit of integrating spatial and spectral domains of imagery for the automatic extraction and integration of novel soft features (biometric).

Author: David M. Ryer
ISBN-10: 1288368666
ISBN-13: 9781288368662
Publisher: Biblioscholar
Language: English
Published: 11/29/2012
Pages: 232
Format: Paperback
Weight: 0.93lbs
Size: 9.69h x 7.44w x 0.49d