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Incremental Adaptive Loop Subdivision

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Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3045))

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Abstract

In this paper, a new adaptive Loop subdivision algorithm is introduced. Adaptive subdivision refines specific areas of a model according to user or application needs. Our algorithm extends the specified area such that when it is adaptively subdivided, it produces a smooth surface with visually pleasing connectivity. As adaptive subdivision is repeated, subdivision depth changes gradually from one area of the surface to another area. This smooth transition is analogous to anti-aliasing.

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References

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Author information

Authors and Affiliations

  1. University of Calgary, Calgary, Canada

    Hamid-Reza Pakdel & Faramarz Samavati

Authors
  1. Hamid-Reza Pakdel
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  2. Faramarz Samavati
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Editor information

Editors and Affiliations

  1. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  5. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  6. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

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© 2004 Springer-Verlag Berlin Heidelberg

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Pakdel, HR., Samavati, F. (2004). Incremental Adaptive Loop Subdivision. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_25

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  • DOI: https://doi.org/10.1007/978-3-540-24767-8_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22057-2

  • Online ISBN: 978-3-540-24767-8

  • eBook Packages: Springer Book Archive

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