Knowledge-based object recognition and model generation

Dietrich W. Paulus; Andraes Winzen; Heinrich Niemann

doi:10.1117/12.164884

17 December 1993 Knowledge-based object recognition and model generation

Dietrich W. Paulus, Andraes Winzen, Heinrich Niemann

Proceedings Volume 1989, Computer Vision for Industry; (1993) https://doi.org/10.1117/12.164884
Event: Electronic Imaging Device Engineering, 1993, Munich, Germany

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.

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Dietrich W. Paulus, Andraes Winzen, and Heinrich Niemann "Knowledge-based object recognition and model generation", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); https://doi.org/10.1117/12.164884

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