Billboard Clouds for Extreme Model Simplification

Xavier Décoret 1 Frédo Durand 1, * François X. Sillion 2 Julie Dorsey 3
* Corresponding author
2 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [40 references]  Display  Hide  Download


https://hal.inria.fr/inria-00510175
Contributor : Team Evasion <>
Submitted on : Wednesday, October 13, 2010 - 5:21:36 PM
Last modification on : Wednesday, April 11, 2018 - 1:52:12 AM
Long-term archiving on : Friday, January 14, 2011 - 2:42:30 AM

Identifiers

  • HAL Id : inria-00510175, version 1

Collections

IMAG | INRIA | UGA

Citation

Xavier Décoret, Frédo Durand, François X. Sillion, Julie Dorsey. Billboard Clouds for Extreme Model Simplification. Proceedings of the ACM Siggraph, 2003, San diego, United States. ⟨inria-00510175⟩

Share

Metrics

Record views

531

Files downloads

1118