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Procedural Modeling of the Great Barrier Reef

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Advances in Visual Computing (ISVC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13017))

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Abstract

Since terrain procedural modeling is widely adopted for the virtual natural scene generations in the game design, movie industry, and digital arts, lots of advanced techniques have been explored by researchers to procedurally synthesize a large variety of different types of terrain and landscapes. In this paper, we present a novel approach to generate a special type of landscape – the Great Barrier Reef – an amazing natural landscape that is currently being ignored. We propose a hypothesis that the Great Barrier Reef is grown with the diffusion-limited aggregation (DLA) model and simulate the DLA process to generate the Great Barrier Reef procedurally. As presented in the results, the procedural Great Barrier Reef generated with our approach looks natural when compared to the photos of the real ones.

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Author information

Authors and Affiliations

  1. George Mason University, Fairfax, USA

    Wanwan Li

Authors
  1. Wanwan Li
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Corresponding author

Correspondence to Wanwan Li .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

  2. University of Texas at Arlington, Arlington, TX, USA

    Vassilis Athitsos

  3. University of South Carolina, Columbia, SC, USA

    Tong Yan

  4. City University of Hong Kong, Kowloon, Hong Kong

    Manfred Lau

  5. School of Engineering and Computing, University of Durham, Durham, Durham, UK

    Frederick Li

  6. Airbnb, New York, NY, USA

    Conglei Shi

  7. Peking University, Beijing, China

    Xiaoru Yuan

  8. Purdue University, West Lafayette, IN, USA

    Christos Mousas

  9. IST, School of Modeling, Simulation, and Training, Orlando, FL, USA

    Gerd Bruder

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Li, W. (2021). Procedural Modeling of the Great Barrier Reef. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2021. Lecture Notes in Computer Science(), vol 13017. Springer, Cham. https://doi.org/10.1007/978-3-030-90439-5_30

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  • DOI: https://doi.org/10.1007/978-3-030-90439-5_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90438-8

  • Online ISBN: 978-3-030-90439-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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