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Proceedings Paper

Feature-based correlation filters for object recognition
Author(s): Samuel Peter Kozaitis; Wesley E. Foor
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Paper Abstract

Using an optical correlator, we experimentally evaluated a binary phase-only filter (BPOF) designed to recognize objects not in the training set used to design the filter. Such a filter is essential for recognizing objects from actual sensors. We used an approach that is as descriptive as a BPOF yet robust to object and background variations of an unknown or nonrepeatable type. We generated our filter by comparing the values of spatial frequencies of a training set. Our filter was easily calculated and offered potentially superior performance to other correlation filters.

Paper Details

Date Published: 26 February 1993
PDF: 8 pages
Proc. SPIE 1790, Analog Photonics, (26 February 1993); doi: 10.1117/12.141705
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Wesley E. Foor, Air Force Photonics Ctr. at Rome Lab. (United States)


Published in SPIE Proceedings Vol. 1790:
Analog Photonics
Andrew R. Pirich; Paul Sierak, Editor(s)

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