Publikation: Sketch-Based Tree Modeling Using Markov Random Field
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In this paper, we describe a new system for converting a user s freehand sketch of a tree into a full 3D model that is both complex and realistic-looking. Our system does this by probabilistic optimization based on parameters obtained from a database of tree models. The best matching model is selected by comparing its 2D projections with the sketch. Branch interaction is modeled by a Markov random field, subject to the constraint of 3D projection to sketch. Our system then uses the notion of self-similarity to add new branches before finally populating all branches with leaves of the user s choice. We show a variety of natural-looking tree models generated from freehand sketches with only a few strokes.
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CHEN, Xuejin, Boris NEUBERT, Ying-Qing XU, Oliver DEUSSEN, Sing Bing KANG, 2008. Sketch-Based Tree Modeling Using Markov Random Field. ACM SIGGRAPH Asia 2008 papers on - SIGGRAPH Asia '08. Singapore, 10. Dez. 2008 - 13. Dez. 2008. In: ACM SIGGRAPH Asia 2008 papers on - SIGGRAPH Asia '08. New York, New York, USA: ACM Press, 2008, 109. ISBN 978-1-4503-1831-0. Available under: doi: 10.1145/1457515.1409062BibTex
@inproceedings{Chen2008Sketc-5593, year={2008}, doi={10.1145/1457515.1409062}, title={Sketch-Based Tree Modeling Using Markov Random Field}, isbn={978-1-4503-1831-0}, publisher={ACM Press}, address={New York, New York, USA}, booktitle={ACM SIGGRAPH Asia 2008 papers on - SIGGRAPH Asia '08}, author={Chen, Xuejin and Neubert, Boris and Xu, Ying-Qing and Deussen, Oliver and Kang, Sing Bing}, note={Article Number: 109} }
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