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Proceedings Paper

Face recognition using Gabor wavelets and human saccadic behavior
Author(s): John G. Keller; Lemuel R. Myers; Steven K. Rogers; Matthew Kabrisky; Mark E. Oxley; Martin P. DeSimio
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Paper Abstract

We introduce an object recognition system using Gabor filters to model the biological visual field and a saccadic behavioral model to emulate biological active vision. A high resolution image containing an object of interest is first processed by an ensemble of multi-resolution, multi- orientation Gabor filters. The object can then be described by an alternating sequence of fixation coordinates and the Gabor responses at pixel locations surrounding that fixation point. Once this sequence is memorized, a complex image can be searched for the same location/feature sequence, indicating the presence of the memorized object. The model is suitable for memorization of arbitrary objects, and a simple example is presented using a human face as the object of interest.

Paper Details

Date Published: 26 March 1998
PDF: 11 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304887
Show Author Affiliations
John G. Keller, Air Force Institute of Technology (United States)
Lemuel R. Myers, Air Force Institute of Technology (United States)
Steven K. Rogers, Battelle Memorial Institute (United States)
Matthew Kabrisky, Air Force Institute of Technology (United States)
Mark E. Oxley, Air Force Institute of Technology (United States)
Martin P. DeSimio, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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