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dc.contributor.authorKozaitis, S.P.
dc.contributor.authorFoor, Wesley E.
dc.date.accessioned2017-10-06T16:52:25Z
dc.date.available2017-10-06T16:52:25Z
dc.date.issued1993-02-26
dc.identifier.citationKozaitis, S. P., & Foor, W. E. (1993). Feature-based correlation filters for object recognition. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 1790 104-111.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1794
dc.descriptionCorrelators, Image processing, Optical devices, Optical filters, Sensorsen_US
dc.description.abstractUsing 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleFeature-based correlation filters for object recognitionen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.141705


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