ML-Tree and MRL-Tree: Combining Mass-Spring System, Rigid-Body Dynamics and L-Systems to Model Physical Effects on Trees

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ML-Tree and MRL-Tree: Combining Mass-Spring System, Rigid-Body Dynamics and L-Systems to Model Physical Effects on Trees
Title:
ML-Tree and MRL-Tree: Combining Mass-Spring System, Rigid-Body Dynamics and L-Systems to Model Physical Effects on Trees
Journal Title:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Publication Date:
03 March 2024
Citation:
Lim, S. M., & Gobeawan, L. (2024). ML-Tree and MRL-Tree: Combining Mass-Spring System, Rigid-Body Dynamics and L-Systems to Model Physical Effects on Trees. Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. https://doi.org/10.5220/0012315200003660
Abstract:
We apply physically-based modeling methods to a biological tree model for a hybrid model with a better accuracy. Physical aspects of tree growth, such as wind, tropisms, gravity and soil resistance are modelled. The hybrid model also includes the handling of boundary conditions such as momentum conservation and switching between the L-System, Mass-Spring System (MSS) and Rigid-Body Dynamics (RBD) methods. This paper demonstrates resulting models and their potential applications such as tree stress prediction.
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
This research / project is supported by the National Research Foundation, Singapore - Joint New Zealand - Singapore Data Science Research Programme
Grant Reference no. : SDSC-2020-002
Description:
ISSN:
2184-4321