1 December 1990 Associative object recognition by hierarchic template matching
Author Affiliations +
Optical Engineering, 29(12), (1990). doi:10.1117/12.55747
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.
Stefan Karbacher, "Associative object recognition by hierarchic template matching," Optical Engineering 29(12), (1 December 1990). http://dx.doi.org/10.1117/12.55747
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KEYWORDS
Distance measurement

Object recognition

Binary data

Cameras

Library classification systems

Linear filtering

Classification systems

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