Feature-based correlation filters for object recognition

Samuel Peter Kozaitis; Wesley E. Foor

doi:10.1117/12.141705

26 February 1993 Feature-based correlation filters for object recognition

Samuel Peter Kozaitis, Wesley E. Foor

Proceedings Volume 1790, Analog Photonics; (1993) https://doi.org/10.1117/12.141705
Event: Fibers '92, 1992, Boston, MA, United States

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.

Citation Download Citation

Samuel Peter Kozaitis and Wesley E. Foor "Feature-based correlation filters for object recognition", Proc. SPIE 1790, Analog Photonics, (26 February 1993); https://doi.org/10.1117/12.141705

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