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Optical Engineering

Associative object recognition by hierarchic template matching
Author(s): Stefan Karbacher
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Paper Abstract

A system for associative object recognition of learned objects by hierarchic template matching is presented. It is problem independent to some extent. It is able to classify and recognize objects that are taken by a TV camera in front of a known background scene. The hierarchic steps are as follows: separation of object and background, object normalization, classification, and individual recognition. For classification each template is an archetype constructed from the learned objects of one class. Three kinds of archetypes with respect to their classification efficiency are investigated.

Paper Details

Date Published: 1 December 1990
PDF: 9 pages
Opt. Eng. 29(12) doi: 10.1117/12.55747
Published in: Optical Engineering Volume 29, Issue 12
Show Author Affiliations
Stefan Karbacher, Univ. of Erlangen-Nuernberg (Germany)

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