Billboard Clouds for Extreme Model Simplification
Xavier Décoret, Frédo Durand, François X. Sillion, Julie Dorsey
In ACM Transactions on Graphics, 22(3), July 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.
Keyword(s): Billboard, model simplification, LOD, image-based rendering, error-driven simplification, real-time rendering
BibTeX format:
@article{Decoret:2003:BCF,
  author = {Xavier Décoret and Frédo Durand and François X. Sillion and Julie Dorsey},
  title = {Billboard Clouds for Extreme Model Simplification},
  journal = {ACM Transactions on Graphics},
  volume = {22},
  number = {3},
  pages = {689--696},
  month = jul,
  year = {2003},
}
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