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A Parametrically-Optimized Morphing Scheme of Polygonal Meshes

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Computational Science and Its Applications — ICCSA 2003 (ICCSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2669))

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Abstract

In this paper we propose a new parametric morphing scheme for polygonal meshes. The approach consists of three main ingredients: 1) surface partition of polygonal meshes into different patches; 2) a new parametric morphing scheme of constant surface normal flow and 3) parametric shape optimization. The uniqueness of our morphing scheme is that the shape evolving process is controlled by an optimization and by parameterization of surface patches. Numerical experiment indicates the effectiveness of the proposed approach in engineering applications.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science, University of Michigan — Dearborn, Dearborn, MI, 48128, USA

    Jie Shen

Authors
  1. Jie Shen
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Editor information

Editors and Affiliations

  1. Army High Performance Computing Research Center, USA University of Minessota Department of Computer Science and Engineering, MN, 55455, USA

    Vipin Kumar

  2. Department of Computer Science, University of Calgary, Calgary, AB, T2N1N4, Canada

    Marina L. Gavrilova

  3. Heuchera Technologies Inc., 122 9251-8Yonge Street, Richmond Hill, ON, Canada, L4C 9T3

    Chih Jeng Kenneth Tan

  4. School of Computer Science, The Queen’s University of Belfast, Belfast, BT7 1NN, Northern Ireland UK

    Chih Jeng Kenneth Tan

  5. Département d’informatique et de recherche opérationelle Montréal, Université de Montréal, Québec, H3C 3J7, Canada

    Pierre L’Ecuyer

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© 2003 Springer-Verlag Berlin Heidelberg

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Shen, J. (2003). A Parametrically-Optimized Morphing Scheme of Polygonal Meshes. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44842-X_95

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  • DOI: https://doi.org/10.1007/3-540-44842-X_95

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40156-8

  • Online ISBN: 978-3-540-44842-6

  • eBook Packages: Springer Book Archive

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