2-D Invariant Object Recognition Using Distributed Associative Memory

Authors:
Harry Wechsler;George Lee Zimmerman
Affiliations:
George Mason Univ., Fairfax, VA;Univ. of Minnesota, Minneapolis
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1988

Citing 2
Cited 8

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Abstract

Complex-log conformal mapping is combined with a distributed associative memory to create a system that recognizes objects regardless of changes in rotation or scale. Information recalled 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 the approach.