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Proceedings Paper

New basis function distortion invariant detection filters
Author(s): Anand K. Iyer; David P. Casasent
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Paper Abstract

New correlation filters for object detection are considered. Detection is the first step in general scene analysis. It requires locating the positions of all objects (regions of interest) in a scene. This involves recognizing objects in multiple classes with object distortion and contrast differences in the presence of clutter. To solve this problem, we use basis function descriptions of objects using new Gabor wavelet (CW) filter functions with new correlation plane optimization functions and employ degrees of freedom (DOFs) to satisfy the optimization functions in a controlled manner. We refer to these as DOF filters and to our specific versions as GW-DOF filters.

Paper Details

Date Published: 29 September 1994
PDF: 6 pages
Proc. SPIE 2297, Photonics for Processors, Neural Networks, and Memories II, (29 September 1994); doi: 10.1117/12.187274
Show Author Affiliations
Anand K. Iyer, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 2297:
Photonics for Processors, Neural Networks, and Memories II
Joseph L. Horner; Bahram Javidi; Stephen T. Kowel, Editor(s)

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