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    Interactive wood combustion for botanical tree models

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    Type
    Conference Paper
    Authors
    Pirk, Sören
    Jarząbek, Michał
    Hadrich, Torsten
    Michels, Dominik L.
    Palubicki, Wojciech
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Date
    2017-11-22
    Online Publication Date
    2017-11-22
    Print Publication Date
    2017-11-20
    Permanent link to this record
    http://hdl.handle.net/10754/626814
    
    Metadata
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    Abstract
    We present a novel method for the combustion of botanical tree models. Tree models are represented as connected particles for the branching structure and a polygonal surface mesh for the combustion. Each particle stores biological and physical attributes that drive the kinetic behavior of a plant and the exothermic reaction of the combustion. Coupled with realistic physics for rods, the particles enable dynamic branch motions. We model material properties, such as moisture and charring behavior, and associate them with individual particles. The combustion is efficiently processed in the surface domain of the tree model on a polygonal mesh. A user can dynamically interact with the model by initiating fires and by inducing stress on branches. The flames realistically propagate through the tree model by consuming the available resources. Our method runs at interactive rates and supports multiple tree instances in parallel. We demonstrate the effectiveness of our approach through numerous examples and evaluate its plausibility against the combustion of real wood samples.
    Citation
    Pirk S, Jarząbek M, Hädrich T, Michels DL, Palubicki W (2017) Interactive wood combustion for botanical tree models. ACM Transactions on Graphics 36: 1–12. Available: http://dx.doi.org/10.1145/3130800.3130814.
    Sponsors
    The authors are grateful to Xiangmin Jiao and David E. Keyes for helpful discussions. Moreover, the reviewers' valuable comments that improved the manuscript are gratefully acknowledged. The work was supported by the NSF grant CCF-1514305, KAUST's baseline funding, and the Max Planck Center for Visual Computing and Communication (MPC-VCC) funded by Stanford University and the Federal Ministry of Education and Research of the Federal Republic of Germany (grants FKZ-01IMC01 and FKZ-01IM10001).
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    ACM Transactions on Graphics
    Conference/Event name
    ACM SIGGRAPH Asia Conference, SA 2017
    DOI
    10.1145/3130800.3130814
    Additional Links
    https://dl.acm.org/citation.cfm?doid=3130800.3130814
    ae974a485f413a2113503eed53cd6c53
    10.1145/3130800.3130814
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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