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Proceedings Paper

Neural network for inferring the shape of occluded objects
Author(s): Ljubomir Citkusev; Lucia M. Vaina
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Paper Abstract

Two different approaches have been implemented to model the filling-in procedure for inferring the shape of occluded objects: computational and back-propagation network. The two approaches have been found to have functional similarities. The receptive fields of the units have been analyzed and an analogy with the receptive field of neurons in area V2 of visual cortex was suggested.

Paper Details

Date Published: 1 March 1991
PDF: 8 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45517
Show Author Affiliations
Ljubomir Citkusev, Boston Univ. (United States)
Lucia M. Vaina, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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