Publikation: Adaptive Billboard Clouds for Botanical Tree Models
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2014
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HAYEK, Wissen, ed. and others. Peer reviewed proceedings of Digital Landscape Architecture 2014 at ETH Zurich. Berlin: Wichmann, 2014, pp. 274-282. ISBN 978-3-87907-530-0
Zusammenfassung
We present a framework for automatic Level-of-Detail control of botanical tree models based on hierarchical billboard clouds. These clouds react to quality measures developed specifically for plant models. They are optimized for providing minimum visual differences compared to the full polygonal models. The tree structure is analyzed to determine the geometric parts of the tree that are substituted by billboards. By computing the implicit surface of the tree model we can efficiently determine the average occlusion of each area within a tree that is used to guide the substitution. Our system is validated by comparing simplified versions of different trees with their full polygonal models. We realized our system as plug-in for MAXON CINEMA 4D.
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004 Informatik
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Digital Landscape Architecture, 2004, ETH Zurich
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KRATT, Julian, Liviu COCONU, Tim DAPPER, Jan Walter SCHLIEP, Philip PAAR, Oliver DEUSSEN, 2014. Adaptive Billboard Clouds for Botanical Tree Models. Digital Landscape Architecture. ETH Zurich, 2004. In: HAYEK, Wissen, ed. and others. Peer reviewed proceedings of Digital Landscape Architecture 2014 at ETH Zurich. Berlin: Wichmann, 2014, pp. 274-282. ISBN 978-3-87907-530-0BibTex
@inproceedings{Kratt2014Adapt-27882,
year={2014},
title={Adaptive Billboard Clouds for Botanical Tree Models},
isbn={978-3-87907-530-0},
publisher={Wichmann},
address={Berlin},
booktitle={Peer reviewed proceedings of Digital Landscape Architecture 2014 at ETH Zurich},
pages={274--282},
editor={Hayek, Wissen},
author={Kratt, Julian and Coconu, Liviu and Dapper, Tim and Schliep, Jan Walter and Paar, Philip and Deussen, Oliver}
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