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Proceedings Paper

Resolution And Invariance Criteria For Object Pattern Recognition
Author(s): Lowell Jacobson; Uwe Thomanschefsky; Harry Wechsler
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Paper Abstract

We overview progress toward implementing a simulation system, being designed at Honeywell, to demonstrate robust recognition of planar shapes and textures in a scene irrespective of their variable appearance in the image as affected by a priori unknown perspective, position, orientation, size, range, illumination, and partial occlusion. The system is based on a theory that two of the authors have previously proposed for invariant visual form recognition. Besides describing the advanced image representation to be employed, we also introduce a pattern detection/association subsystem that allows one to directly use invariant visual patterns to "address out" related information from a distributed associative memory.

Paper Details

Date Published: 17 January 1985
PDF: 9 pages
Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); doi: 10.1117/12.946163
Show Author Affiliations
Lowell Jacobson, University of Minnesota and Honeywell Inc. (United States)
Uwe Thomanschefsky, Honeywell Inc. (United States)
Harry Wechsler, Honeywell Inc. (United States)

Published in SPIE Proceedings Vol. 0521:
Intelligent Robots and Computer Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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