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Optical Engineering

Three-dimensional planar-faced object classification with Kohonen maps
Author(s): Alberto Delbimbo; L. Landi; S. Santini
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Paper Abstract

Three-dimensional (3-D) object recognition from digitized intensity images is a central problem in providing computers with humanlike perception capabilities. We present a neural system that performs learning and classification of 3-D planar-faced objects. These objects are described through a set of line descriptors that provide a type of invariance to scaling and allow a reduction in the number of views needed to train the network. Kohonen networks have been used to allow a humanlike classification of the object views. Each network is capable of discriminating between several distinct objects and can be combined in a modular way with similar networks to build large multiobject classifiers.

Paper Details

Date Published: 1 June 1993
PDF: 13 pages
Opt. Eng. 32(6) doi: 10.1117/12.134188
Published in: Optical Engineering Volume 32, Issue 6
Show Author Affiliations
Alberto Delbimbo, Univ. di Firenze (Italy)
L. Landi, Univ. di Firenze (Italy)
S. Santini, Univ. di Frienze (Italy)


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