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Proceedings Paper

Knowledge-based object recognition and model generation
Author(s): Dietrich W. Paulus; Andraes Winzen; Heinrich Niemann
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Paper Abstract

We will present a new system for knowledge-based image analysis which exploits the benefits of object oriented programming. The knowledge base is built using a formal language for semantic nets, which are already successfully applied in an industrial project. The knowledge base is compiled into an image analysis program. Time consuming search in the knowledge base can thus be avoided. The system provides a general interface to pattern analysis techniques which are included in the generated program as specified by the user. The approach combines the advantages of a compiled program for a special purpose with the flexibility of a general knowledge base tool. The resulting program is used for the reconstruction of the 3D shape of industrial objects using stereo techniques. Images are taken from several viewpoints. Models of 3D objects are then created by an integration of the segmentation data.

Paper Details

Date Published: 17 December 1993
PDF: 12 pages
Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); doi: 10.1117/12.164884
Show Author Affiliations
Dietrich W. Paulus, Univ. Erlangen-Nuernberg (Germany)
Andraes Winzen, Univ. Erlangen-Nuernberg (Germany)
Heinrich Niemann, Univ. Erlangen-Nuernberg (Germany)

Published in SPIE Proceedings Vol. 1989:
Computer Vision for Industry
Donald W. Braggins, Editor(s)

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