Header

UZH-Logo

Maintenance Infos

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.

Statistics

Downloads

72 downloads since deposited on 28 Mar 2011
10 downloads since 12 months
Detailed statistics

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:12 Aug 2017 10:01
Related URLs:http://kesen.realtimerendering.com/pbg2007Papers.htm
http://graphics.ethz.ch/events/pbg/07/

Download

Preview Icon on Download
Preview
Filetype: PDF
Size: 7MB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations