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Artist-directed Modeling of Competitively Growing Corals

Published:13 December 2022Publication History

ABSTRACT

This paper presents a procedural modeling method for coral groups considering the territorial conflict between species. We developed a graphical interface to control the territorial battle by arranging locator points that represent available space to grow the coral branches. The coral skeletals are generated according to species-specific structural rules while competing for the locators between individuals.

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References

  1. Wojciech Palubicki, Kipp Horel, Steven Longay, Adam Runions, Brendan Lane, Radomír Měch, and Przemyslaw Prusinkiewicz. 2009. Self-Organizing Tree Models for Image Synthesis. ACM Transactions on Graphics 28, 3, Article 58(2009), 10 pages.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Przemyslaw Prusinkiewicz and Aristid Lindenmayer. 1996. The Algorithmic Beauty of Plants. Springer-Verlag.Google ScholarGoogle Scholar
  3. Adam Runions, Brendan Lane, and Przemyslaw Prusinkiewicz. 2007. Modeling Trees with a Space Colonization Algorithm. In Proceedings of Eurographics Conference on Natural Phenomena. 63–70.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    SA '22: SIGGRAPH Asia 2022 Posters
    December 2022
    120 pages
    ISBN:9781450394628
    DOI:10.1145/3550082
    • Editors:
    • Soon Ki Jung,
    • Neil Dodgson

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 13 December 2022

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    Qualifiers

    • poster
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate178of869submissions,20%
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