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Level of Detail for Trees Using Clustered Ellipsoids
Zitieren Sie bitte immer diese URN: urn:nbn:de:0297-zib-14251
- We present a level of detail method for trees based on ellipsoids and lines. We leverage the Expectation Maximization algorithm with a Gaussian Mixture Model to create a hierarchy of high-quality leaf clusterings, while the branches are simplified using agglomerative bottom-up clustering to preserve the connectivity. The simplification runs in a preprocessing step and requires no human interaction. For a fly by over and through a scene of 10k trees, our method renders on average at 40 ms/frame, up to 6 times faster than billboard clouds with comparable artifacts.
Verfasserangaben: | Malte Clasen, Philip Paar, Steffen Prohaska |
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Dokumentart: | ZIB-Report |
Freies Schlagwort / Tag: | Gaussian mixture model; level of detail; natural scene; rendering |
MSC-Klassifikation: | 65-XX NUMERICAL ANALYSIS |
68-XX COMPUTER SCIENCE (For papers involving machine computations and programs in a specific mathematical area, see Section -04 in that area) | |
CCS-Klassifikation: | I. Computing Methodologies |
PACS-Klassifikation: | 80.00.00 INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Datum der Erstveröffentlichung: | 05.11.2011 |
Schriftenreihe (Bandnummer): | ZIB-Report (11-41) |
ISSN: | 1438-0064 |
ZIB-Reportnummer: | 11-41 |
Lizenz (Deutsch): | Creative Commons - Namensnennung |