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Proceedings Paper

Rotation And Scale Invariant Object Recognition Using A Distributed Associative Memory
Author(s): Harry Wechsler; George Lee Zimmerman
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Paper Abstract

This paper describes an approach to 2-dimensional object recognition. Complex-log conformal mapping is combined with a distributed associative memory to create a system which recognizes objects regardless of changes in rotation or scale. Recalled information from the memorized database is used to classify an object, reconstruct the memorized version of the object, and estimate the magnitude of changes in scale or rotation. The system response is resistant to moderate amounts of noise and occlusion. Several experiments, using real, gray scale images, are presented to show the feasibility of our approach.

Paper Details

Date Published: 20 April 1988
PDF: 6 pages
Proc. SPIE 0880, High Speed Computing, (20 April 1988); doi: 10.1117/12.944036
Show Author Affiliations
Harry Wechsler, University of Minnesota (United States)
George Lee Zimmerman, University of Minnesota (United States)

Published in SPIE Proceedings Vol. 0880:
High Speed Computing
David P. Casasent, Editor(s)

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