Paper
26 March 1998 Face recognition using Gabor wavelets and human saccadic behavior
John G. Keller, Lemuel R. Myers Jr., Steven K. Rogers, Matthew Kabrisky, Mark E. Oxley, Martin P. DeSimio
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John G. Keller, Lemuel R. Myers Jr., Steven K. Rogers, Matthew Kabrisky, Mark E. Oxley, and Martin P. DeSimio "Face recognition using Gabor wavelets and human saccadic behavior", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304887
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KEYWORDS
Visualization

Visual process modeling

Image processing

Facial recognition systems

Sensors

Wavelets

Image filtering

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