Efficient face-based feature recognition

J. Corney, D. E R Clark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previous work of the authors showed how multiply connected protrusions and depressions could be identified through the detection of bounding face-cycles. This method, as previously described, had two weaknesses. First, it assumed that the 2 1/2 D axis of the object was given by the human user. Second, identification of the face-cycles, using standard algorithms from graph theory, carried a high combinatorial overhead. This paper reports further work which overcomes both of these problems, and illustrates a new cycle finding search strategy which has been implemented using the ACIS modeler.

Original languageEnglish
Title of host publicationProc 2 Symp Solid Model Appl
Pages313-322
Number of pages10
Publication statusPublished - 1993
EventProceedings of the 2nd Symposium on Solid Modeling and Applications - Montreal, Que, Can
Duration: 19 May 199321 May 1993

Conference

ConferenceProceedings of the 2nd Symposium on Solid Modeling and Applications
CityMontreal, Que, Can
Period19/05/9321/05/93

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  • Cite this

    Corney, J., & Clark, D. E. R. (1993). Efficient face-based feature recognition. In Proc 2 Symp Solid Model Appl (pp. 313-322)