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Proceedings Paper

Application of functional link neural networks in free form surface reconstruction
Author(s): Moumen T. Ahmed; Aly A. Farag
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Paper Abstract

This paper presents a new technique for free form surface reconstruction using functional link neural networks. A comparative study is performed between classical methods used for interpolation and the proposed ones based on neural networks. We show that the neural networks approach provides good approximation for smoothly varying surfaces, and provides better results than classical techniques when used for free form surface reconstruction.

Paper Details

Date Published: 10 October 1994
PDF: 13 pages
Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); doi: 10.1117/12.188920
Show Author Affiliations
Moumen T. Ahmed, Univ. of Louisville (United States)
Aly A. Farag, Univ. of Louisville (United States)

Published in SPIE Proceedings Vol. 2353:
Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision
David P. Casasent, Editor(s)

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