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Assessing the Effectiveness of Filters for Shape Matching

[+] Author Affiliations
R. Sung, H. J. Rea, J. R. Corney, D. E. R. Clark, J. Pritchard, M. L. Breaks, R. A. MacLeod

Heriot-Watt University, Edinburgh, UK

Paper No. IMECE2002-39420, pp. 687-696; 10 pages
doi:10.1115/IMECE2002-39420
From:
  • ASME 2002 International Mechanical Engineering Congress and Exposition
  • Design Engineering
  • New Orleans, Louisiana, USA, November 17–22, 2002
  • Conference Sponsors: Design Engineering Division
  • ISBN: 0-7918-3628-2 | eISBN: 0-7918-1691-5, 0-7918-1692-3, 0-7918-1693-1
  • Copyright © 2002 by ASME

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
Topics: Filters , Shapes

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