inria-00510175, version 1
Billboard Clouds for Extreme Model Simplification
Xavier Décoret 1Frédo Durand
1François X. Sillion
2Julie Dorsey 3
Proceedings of the ACM Siggraph (2003)
Abstract: We introduce billboard clouds -- a new approach for extreme simplification in the context of real-time rendering. 3D models are simplified onto a set of planes with texture and transparency maps. We present an optimization approach to build a billboard cloud given a geometric error threshold. After computing an appropriate density function in plane space, a greedy approach is used to select suitable representative planes. A good surface approximation is ensured by favoring planes that are ``nearly tangent'' to the model. This method does not require connectivity information, but instead avoids cracks by projecting primitives onto multiple planes when needed. For extreme simplification, our approach combines the strengths of mesh decimation and image-based impostors. We demonstrate our technique on a large class of models, including smooth manifolds and composite objects.
- 1: Massachusets Institute of Technology (MIT)
- MIT
- 2: ARTIS (IMAG-INRIA Rhône-Alpes / GRAVIR)
- CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
- 3: Yale University
- Yale University
- Domain : Computer Science/Computer Graphics and Virtual Reality
- Keywords : Billboard – model simplification – LOD – image-based rendering – error-driven simplification – real-time rendering
- inria-00510175, version 1
- http://hal.inria.fr/inria-00510175
- oai:hal.inria.fr:inria-00510175
- From: Team Evasion
- Submitted for:
- Submitted on: Wednesday, 13 October 2010 17:21:36
- Updated on: Monday, 14 February 2011 16:57:54







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