Li, C., Deussen, O., Song, Y.-Z., Willis, P. and Hall, P., 2011. Modeling and generating moving trees from video. ACM Transactions on Graphics, 30 (6), 127.
We present a probabilistic approach for the automatic production of tree models with convincing 3D appearance and motion. The only input is a video of a moving tree that provides us an initial dynamic tree model, which is used to generate new individual trees of the same type. Our approach combines global and local constraints to construct a dynamic 3D tree model from a 2D skeleton. Our modeling takes into account factors such as the shape of branches, the overall shape of the tree, and physically plausible motion. Furthermore, we provide a generative model that creates multiple trees in 3D, given a single example model. This means that users no longer have to make each tree individually, or specify rules to make new trees. Results with different species are presented and compared to both reference input data and state of the art alternatives.
|Item Type ||Articles|
|Creators||Li, C., Deussen, O., Song, Y.-Z., Willis, P. and Hall, P.|
|Departments||Faculty of Science > Computer Science|
|Publisher Statement||Li_ACM-Trans-Graphics_2011_30_6_127.pdf: © ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Graphics, vol 30, issue 6, 2011, http://dx.doi.org/10.1145/2024156.2024161|
|Additional Information||Also published in SA '11 Proceedings of the 2011 SIGGRAPH Asia Conference Article No. 127 ACM New York, NY, USA ©2011 table of contents ISBN: 978-1-4503-0807-6 doi>10.1145/2024156.2024161|
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