Authors:
Christoph Schinko
1
;
Thomas Vosgien
2
;
Thorsten Prante
2
;
Tobias Schreck
3
and
Torsten Ullrich
1
Affiliations:
1
Fraunhofer Austria Research GmbH and Graz University of Technology, Austria
;
2
V-Research GmbH, Austria
;
3
Graz University of Technology, Austria
Keyword(s):
Computer-Aided Design, Information Retrieval, Library Services, CAD Search.
Related
Ontology
Subjects/Areas/Topics:
CAGD/CAD/CAM Systems
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Scene and Object Modeling
Abstract:
This article presents a state-of-the-art overview on shape, information and design retrieval systems in the
context of CAD engineering. In contrast to existing surveys, we classify the different approaches from a
CAD application user point of view. As a consequence, we focus on features of surveyed techniques such as:
supported shape data types, handling of geometric invariances, support of metadata, supported query types,
quality of retrieval results, and the availability of implementations.