A discourse on geometric feature recognition from cad models

Jami J. Shah, David Anderson, Yong Se Kim, Sanjay B. Joshi

Research output: Contribution to journalArticle

133 Citations (Scopus)

Abstract

This paper discusses the past 25 years of research in feature recognition. Although a great variety of feature recognition techniques have been developed, the discussion here focuses on the more successful ones. These include graph based and “hint” based methods, convex hull decomposition, and volume decomposition-recomposition techniques. Recent advances in recognizing features with free form features are also presented. In order to benchmark these methods, a frame of reference is created based on topological generality, feature interactions handled, surface geometry supported, pattern matching criteria used, and computational complexity. This framework is used to compare each of the recognition techniques. Problems related to domain dependence and multiple interpretations are also addressed. Finally, some current research challenges are discussed.

Original languageEnglish (US)
Pages (from-to)41-51
Number of pages11
JournalJournal of Computing and Information Science in Engineering
Volume1
Issue number1
DOIs
StatePublished - Jan 1 2001

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Decomposition
Pattern matching
Computational complexity
Geometry

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering

Cite this

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A discourse on geometric feature recognition from cad models. / Shah, Jami J.; Anderson, David; Kim, Yong Se; Joshi, Sanjay B.

In: Journal of Computing and Information Science in Engineering, Vol. 1, No. 1, 01.01.2001, p. 41-51.

Research output: Contribution to journalArticle

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