ROTATION AND SCALE INVARIANT OBJECT RECOGNITION USING A DISTRIBUTED ASSOCIATIVE MEMORY.

Harry Wechsler, George L Zimmerman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Summary form only given, as follows. The authors describe 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 the approach.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Number of pages1
StatePublished - Dec 1 1987

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  • Cite this

    Wechsler, H., & Zimmerman, G. L. (1987). ROTATION AND SCALE INVARIANT OBJECT RECOGNITION USING A DISTRIBUTED ASSOCIATIVE MEMORY. In Unknown Host Publication Title IEEE.