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Wissensbasierte Rekonstruktion von Volumenmodellen

1990 , Spur, G. , Schiller, U. , Timmermann, M. , Jansen, H. , Krause, F.-L.

Limited system consistency in handling 2-D and 3-D modelers is among the serious critical aspects of modern-day CAD systems. The reconstruction method enables straightforward and familiar 2-D input methods for orthogonal views to be conveniently interlinked with the well-known virtues of solid modelling. One problem associated with his technique is, however, the unavoidable generation of excess 3-D elements resulting from projections and only barely identifiable using algorithmic techniques. An approach is described which, with the aid of knowledge-based methods, enables a far-reaching automatic reconstruction of volume models and thus helps to reduce the problem of generating inconsistent models.

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Publication

Automatic scanning and interpretation of engineering drawings

1989 , Großmann, G. , Jansen, H. , Krause, F.-L.

Successful future product development will be closely connected to an effective way of using CAD-facilities integrated in a CIM-environment. The integration aspect cannot be seen without concentrating on information processing and information acquisition problems. Todays CAD-systems do not provide possibilities for automatic capture of engineering drawing information. The increasing amount of existing engineering drawings - which in large part contain companies' know how - cannot be modified or accessed by CAD-systems, but may not be neglected in design processes using CAD-systems: Therefore, a real demand for convenient conversion methodes for engineering drawings can be stated. In this paper actual and new possibilities for the automated conversion of engineering drawings into CAD-models are discussed. After a global description of the conversion process, problems as well as existing and future solutions of processing substeps are explained in detail. The structure in principal and c omponents of conversion systems are described. The paper closes with an outlook on future trends and improvements using special hardware, parallel processing features and knowledge based methodes.