ITEM METADATA RECORD
Title: Adaptively Sampled Particle Fluids
Authors: Adams, Bart ×
Pauly, Mark
Keiser, Richard
Guibas, Leonidas #
Issue Date: 2007
Publisher: Association for Computing Machinery
Series Title: ACM transactions on graphics vol:26 issue:3
Article number: 48
Abstract: We present novel adaptive sampling algorithms for particle-based
fluid simulation. We introduce a sampling condition based on geometric local feature size that allows focusing computational resources in geometrically complex regions, while reducing the number of particles deep inside the fluid or near thick flat surfaces. Further performance gains are achieved by varying the sampling density according to visual importance. In addition, we propose a novel
fluid surface definition based on approximate particle–to–surface distances that are carried along with the particles and updated appropriately. The resulting surface reconstruction method has several advantages over existing methods, including stability under
particle resampling and suitability for representing smooth flat surfaces. We demonstrate how our adaptive sampling and distance-based surface reconstruction algorithms lead to significant improvements in time and memory as compared to single resolution particle simulations, without significantly affecting the fluid flow behavior.
ISSN: 0730-0301
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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