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Proceedings Paper

Pyramid nets for computer vision
Author(s): Michael C. Stinson
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Paper Abstract

Neural networks are applied to the computer vision recognition problem using a hierarchical approach. The object is categorized and then decomposed using a pyramid structure that proceeds from category to component level in successive steps. The method allows an improved recognition procedure by utilizing the global recognition capabilities of neural networks for separate visual segments. The pyramid structure creates a top down approach for the recognition process.

Paper Details

Date Published: 1 March 1991
PDF: 9 pages
Proc. SPIE 1386, Machine Vision Systems Integration in Industry, (1 March 1991); doi: 10.1117/12.25378
Show Author Affiliations
Michael C. Stinson, Central Michigan Univ. (United States)


Published in SPIE Proceedings Vol. 1386:
Machine Vision Systems Integration in Industry
Bruce G. Batchelor; Frederick M. Waltz, Editor(s)

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