Texture-lobes for tree modeling

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LIVNY, Yotam, Sören PIRK, Zhanglin CHENG, Feilong YAN, Oliver DEUSSEN, Daniel COHEN-OR, Baoquan CHEN, 2011. Texture-lobes for tree modeling. ACM SIGGRAPH 2011 papers. Vancouver, British Columbia, Canada, 7. Aug 2011 - 11. Aug 2011. In: ACM SIGGRAPH 2011 papers on - SIGGRAPH '11. ACM SIGGRAPH 2011 papers. Vancouver, British Columbia, Canada, 7. Aug 2011 - 11. Aug 2011. New York, New York, USA:ACM Press, pp. 1. ISBN 978-1-4503-0943-1

@inproceedings{Livny2011Textu-17719, title={Texture-lobes for tree modeling}, year={2011}, doi={10.1145/1964921.1964948}, isbn={978-1-4503-0943-1}, address={New York, New York, USA}, publisher={ACM Press}, booktitle={ACM SIGGRAPH 2011 papers on - SIGGRAPH '11}, author={Livny, Yotam and Pirk, Sören and Cheng, Zhanglin and Yan, Feilong and Deussen, Oliver and Cohen-Or, Daniel and Chen, Baoquan} }

2012-02-01T15:20:47Z Texture-lobes for tree modeling Cheng, Zhanglin Livny, Yotam Chen, Baoquan Pirk, Sören Livny, Yotam We present a lobe-based tree representation for modeling trees. The new representation is based on the observation that the tree’s foliage details can be abstracted into canonical geometry structures, termed lobe-textures. We introduce techniques to (i) approximate the geometry of given tree data and encode it into a lobe-based representation, (ii) decode the representation and synthesize a fully detailed tree model that visually resembles the input. The encoded tree serves as a light intermediate representation, which facilitates efficient storage and transmission of massive amounts of trees, e.g.,<br />from a server to clients for interactive applications in urban environments. The method is evaluated by both reconstructing laser scanned trees (given as point sets) as well as re-representing existing tree models (given as polygons). Deussen, Oliver Yan, Feilong Cohen-Or, Daniel deposit-license 2011 Deussen, Oliver Cheng, Zhanglin eng First publ. in: ACM Transactions on Graphics ; 30 (2011), 4. - Article 53 2012-02-01T15:20:47Z Cohen-Or, Daniel Chen, Baoquan Pirk, Sören Yan, Feilong

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