skip to main content
10.1145/2160749.2160762acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
research-article

Focal surfaces, skeletons, and ridges for shape analysis and processing

Published:08 March 2012Publication History

ABSTRACT

Curvature is a central concept in the mathematical theory of shape [1]. Being one of the most important intrinsic characteristics of shape, curvature measures deviation from flatness. Visualization and analysis of curvature-based shape characteristics are key components of the shape analysis and understanding process. In this study, we deal with such curvature-based surface features as the focal surfaces, skeleton, and ridges and demonstrate their applications in shape analysis and processing.

References

  1. J. J. Koenderink. Solid Shape. MIT Press, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Y. Ohtake, A. Belyaev, and H.-P. Seidel. Ridge-valley lines on meshes via implicit surface fitting. ACM Transactions on Graphics, 23(3):609--612, August 2004. Proc. ACM SIGGRAPH 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. I. R. Porteous. Geometric Differentiation for the Intelligence of Curves and Surfaces. Cambridge University Press, Cambridge, 1994.Google ScholarGoogle Scholar
  1. Focal surfaces, skeletons, and ridges for shape analysis and processing

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        HCCE '12: Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
        March 2012
        277 pages
        ISBN:9781450311915
        DOI:10.1145/2160749

        Copyright © 2012 Author

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 March 2012

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        HCCE '12 Paper Acceptance Rate48of81submissions,59%Overall Acceptance Rate48of81submissions,59%
      • Article Metrics

        • Downloads (Last 12 months)0
        • Downloads (Last 6 weeks)0

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader