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    Animating Tree Movement with Sound Effects Generation

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    Date
    2003
    Author
    Matsuyama, Katsutsugu
    Ota, Shin
    Tamura, Machiko
    Fujimoto, Tadahiro
    Muraoka, Kazunobu
    Chiba, Norishige
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    Abstract
    This video demonstrates the methods for automatically generating tree motions and sound effects for an animation of branches and leaves moving in the wind. Natural motions of leaves and branches swaying in a wind field are created in real-time by our efficient method without using time-consuming physical simulation techniques based on the equations of motion. This method utilizes "1/f ? noise", which is observed in various natural phenomena. Specifically, in this method, the natural motions of leaves and branches are created by calculating appropriate motion angles using 1/f ? noise functions. The realism of the branch motion is enhanced by applying a real-time simple simulation technique based on the spring model. Sound effects are generated as follows: Each tree is divided into branches and leaves, and an independent sound effect generation process is employed for each element. The individual results are then compounded into one sound effect. For the branches, we employ an approach based on the frequencies of experimentally obtained Karman vortex streets. For the leaves, we use the leaf blade state as the input and assume a virtual musical instrument that uses wave tables as the sound source. All computations can be performed independently for each frame step.
    BibTeX
    @inproceedings {10.2312:egsl.20031086,
    booktitle = {Eurographics 2003 - Slides and Videos},
    editor = {},
    title = {{Animating Tree Movement with Sound Effects Generation}},
    author = {Matsuyama, Katsutsugu and Ota, Shin and Tamura, Machiko and Fujimoto, Tadahiro and Muraoka, Kazunobu and Chiba, Norishige},
    year = {2003},
    publisher = {Eurographics Association},
    ISSN = {1017-4656},
    DOI = {10.2312/egsl.20031086}
    }
    URI
    http://dx.doi.org/10.2312/egsl.20031086
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA