Abstract
The realistic animation of real-world trees is a challenging task because natural trees have various morphology and internal dynamic properties. In this paper, we present an approach to model and animate a specific tree by capturing the motion of its branches. We chose Kinect V2 to record both the RGB and depth of motion of branches with markers. To obtain the three-dimensional (3D) trajectory of branches, we used the mean-shift algorithm to track the markers from color images generated by projecting a textured point cloud onto the image plane, and then inversely mapped the tracking results in the image to 3D coordinates. Next, we performed a fast Fourier transform on the tracked 3D positions to estimate the dynamic properties (i.e., the natural frequency) of the branches. We constructed static tree models using a space colonization algorithm. Given the dynamic properties and static tree models, we demonstrated that our approach can produce realistic animation of trees in wind fields.
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Adelin, B., Julien, D., Pascal, H., Boris, A., Nicolas, D., Lionel, R., Bruno, M.: A robust videogrametric method for the velocimetry of wind-induced motion in trees. Agric. For. Meteorol. 184, 220–229 (2014)
Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(5), 564–577 (2003)
Diener, J., Reveret, L., Fiume, E.: Hierarchical retargetting of 2d motion fields to the animation of 3d plant models. In: Proceedings of the 2006 ACM SCA, Switzerland, pp. 187–195 (2006)
Hu, S., Chiba, N., He, D.: Realistic animation of interactive trees. Vis. Comput. 28(6–8), 859–868 (2012)
Hu, S., Fujimoto, T., Chiba, N.: Pseudo-dynamics model of a cantilever beam for animating flexible leaves and branches in wind field. Comput. Animation Virtual Worlds 20(2–3), 279–287 (2009)
Hu, S., Zhang, Z., Xie, H., Igarashi, T.: Data-driven modeling and animation of outdoor trees through interactive approach. Vis. Comput. 33(6), 1017–1027 (2017)
James, K.R.: A dynamic structural analysis of trees subject to wind loading. In: Phd’s dissertation. The University of Melbourne, Victoria, Australia (2010)
James, K.R., Haritos, N., Ades, P.K.: Mechanical stability of trees under dynamic loads. Am. J. Bot. 93(10), 1522–1530 (2006)
Khorloo, O., Gunjee, Z., Sosorbaram, B., Chiba, N.: Wind field synthesis for animating wind-induced vibration. Int. J. Virtual Reality 10(1), 53–60 (2011)
Long, J., Porter, B., Jones, M.: Animation of trees in wind using sparse motion capture data. Vis. Comput. 31(3), 325–339 (2015)
Moore, J.R., Maguire, D.A.: Natural sway frequencies and damping ratios of trees: concepts, review and synthesis of previous studies. Trees 18(2), 195–203 (2004)
Moore, J.R., Maguire, D.A.: Natural sway frequencies and damping ratios of trees: influence of crown structure. Trees 19(4), 363–373 (2005)
Runions, A., Lane, B., Prusinkiewicz, P.: Modeling trees with a space colonization algorithm. In: Proceedings of the Third Eurographics Conference on Natural Phenomena, NPH 2007, pp. 63–70. Eurographics Association, Aire-la-Ville, Switzerland (2007)
Shinya, M., Fournier, A.: Stochastic motion-motion under the influence of wind. Comput. Graph. Forum 11(3), 119–128 (1992)
Sun, M., Jepson, D.A., Fiume, E.: Video input driven animation (vida). In: 9th IEEE International Conference on Computer Vision, Nice, France, pp. 96–103. IEEE (2003)
Wang, B., Wu, L., Yin, K., Ascher, U., Liu, L., Huang, H.: Deformation capture and modeling of soft objects. ACM Trans. Graph. 34(4), 1–12 (2015)
Xiao, B., Guo, X., Zhao, C.: An approach of mocap data-driven animation for virtual plant. IETE J. Res. 59(3), 258–263 (2013)
Acknowledgment
We thank Dr. Maxine Garcia and Shujie Deng for editing the English text of a draft of this manuscript. The work is supported by the NSFC (61303124) and the Fundamental Research Funds for the Central Universities (Z109021708).
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Hu, S., He, P., He, D. (2017). Motion Capture and Estimation of Dynamic Properties for Realistic Tree Animation. In: Chang, J., Zhang, J., Magnenat Thalmann, N., Hu, SM., Tong, R., Wang, W. (eds) Next Generation Computer Animation Techniques. AniNex 2017. Lecture Notes in Computer Science(), vol 10582. Springer, Cham. https://doi.org/10.1007/978-3-319-69487-0_2
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DOI: https://doi.org/10.1007/978-3-319-69487-0_2
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