Rotation And Scale Invariant Object Recognition Using A Distributed Associative Memory

Harry Wechsler; George Lee Zimmerman

doi:10.1117/12.944036

20 April 1988 Rotation And Scale Invariant Object Recognition Using A Distributed Associative Memory

Harry Wechsler, George Lee Zimmerman

Proceedings Volume 0880, High Speed Computing; (1988) https://doi.org/10.1117/12.944036
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

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.

Citation Download Citation

Harry Wechsler and George Lee Zimmerman "Rotation And Scale Invariant Object Recognition Using A Distributed Associative Memory", Proc. SPIE 0880, High Speed Computing, (20 April 1988); https://doi.org/10.1117/12.944036

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