Abstract
Collaborative re-use of design and manufacturing data is one way that global e-commerce could significantly reduce development costs and lead times of new products. However the proliferation of web based catalogues for standard components (e.g. brochure-ware for nuts and washers etc.) only hints at the possible productivity gains if a 3D search engine could be created. Consequently the research reported here is motivated by the belief that shape matching technology is key to enabling a much deeper form of Internet-based collaborative commerce. This paper describes the coarse "shape" filters that support a 3D, Internet-based search engine, known as ShapeSifter, whose ultimate aim is to enable the location of parts already in production that have a shape similar to a desired "newly designed" part. The challenge of the research is to identify the key metrics that produce meaningful characterizations of 3D models for similarity comparison purposes. In this context the work reported focuses on the use of novel indices based on an object's convex-hull and surface area distribution to carry out a coarse filtering of candidates prior to the application of more detailed analysis (e.g. the construction of multi-dimensional feature vectors). In doing this, the paper describes the crucial role played by a benchmark database of geometrical similar objects. Copyright © 2002 by ASME.
Original language | English |
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Title of host publication | ASME 2002 International Mechanical Engineering Congress and Exposition, IMECE2002 |
Pages | 687-696 |
Number of pages | 10 |
Publication status | Published - 2002 |
Event | ASME 2002 International Mechanical Engineering Congress and Exposition - New Orleans, LA, United States Duration: 17 Nov 2002 → 22 Nov 2002 |
Conference
Conference | ASME 2002 International Mechanical Engineering Congress and Exposition |
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Abbreviated title | IMECE2002 |
Country/Territory | United States |
City | New Orleans, LA |
Period | 17/11/02 → 22/11/02 |
Keywords
- 3D similarity search
- Convex-hull
- Geometric feature matching
- Part-sourcing
- Shape matching
- Surface Moment Metric (smm)