New advances in correlation filters

David P. Casasent

doi:10.1117/12.131511

1 November 1992 New advances in correlation filters

David P. Casasent

Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131511
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

David P. Casasent "New advances in correlation filters", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131511

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