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Proceedings Paper

New advances in correlation filters
Author(s): David P. Casasent
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Paper Abstract

We consider new correlation filters for all levels of scene analysis such as clutter reduction and object detection, recognition, and identification. A hierarchical inference set of such filters allows scene analysis on a unified multifunctional correlator architecture. It has applications in robotics, computer vision, optical character recognition, reconnaissance, and target recognition. Present digital processors can now achieve correlations in real time and hence such filters are of importance.

Paper Details

Date Published: 1 November 1992
PDF: 9 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131511
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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