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Proceedings Paper

Rotation, scaling, shift, and distortion-invariant target recognition
Author(s): Chihwen Li; Chwan-Hwa Wu
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Paper Abstract

This model introduces rotation invariance into the Neocognitron model by way of rotation layers. The most likely orientation of the target is detected and used for further pattern classification using an algorithm similar to that for the Neocognitron model. The visual target recognition capability of this model is demonstrated.

Paper Details

Date Published: 16 September 1992
PDF: 12 pages
Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.139990
Show Author Affiliations
Chihwen Li, Auburn Univ. (United States)
Chwan-Hwa Wu, Auburn Univ. (United States)

Published in SPIE Proceedings Vol. 1709:
Applications of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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