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Efficient refinement of dynamic point data


Solenthaler, B; Zhang, Y; Pajarola, R (2007). Efficient refinement of dynamic point data. In: Eurographics/ACM Symposium on Computer Animation, Prague, Czech Republic, 2 September 2007 - 3 September 2007.

Abstract

Particle simulations as well as geometric modeling techniques have demonstrated their ability to process and
render points interactively. However, real-time particle-based fluid simulations suffer from poor rendering quality due to low surface particle resolutions. Surfaces appear blobby, surface details are lost, and features like edges are degraded due to smoothing effects. This paper presents a novel point refinement method for irregularly sampled, dynamic points coming from a particle-based fluid simulation. Our interpolation algorithm can handle complex
geometries including splashes, and at the same time preserves features like edges. Point collisions are avoided
resulting in a nearly uniform sampling facilitating surface reconstruction techniques. No point preprocessing
is necessary, and point neighborhoods are dynamically updated reducing computation and memory costs. We
show that our algorithm can efficiently detect and refine the surface points of a fluid and we demonstrate the
improvement of rendering quality and applicability to real-time simulations.

Abstract

Particle simulations as well as geometric modeling techniques have demonstrated their ability to process and
render points interactively. However, real-time particle-based fluid simulations suffer from poor rendering quality due to low surface particle resolutions. Surfaces appear blobby, surface details are lost, and features like edges are degraded due to smoothing effects. This paper presents a novel point refinement method for irregularly sampled, dynamic points coming from a particle-based fluid simulation. Our interpolation algorithm can handle complex
geometries including splashes, and at the same time preserves features like edges. Point collisions are avoided
resulting in a nearly uniform sampling facilitating surface reconstruction techniques. No point preprocessing
is necessary, and point neighborhoods are dynamically updated reducing computation and memory costs. We
show that our algorithm can efficiently detect and refine the surface points of a fluid and we demonstrate the
improvement of rendering quality and applicability to real-time simulations.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:3 September 2007
Deposited On:28 Mar 2011 10:32
Last Modified:18 Feb 2018 12:58
OA Status:Green
Related URLs:http://kesen.realtimerendering.com/pbg2007Papers.htm
http://graphics.ethz.ch/events/pbg/07/

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