Handle URI:
http://hdl.handle.net/10754/597638
Title:
Automated sampling and control of gaseous simulations
Authors:
Huang, Ruoguan; Keyser, John
Abstract:
In this work, we describe a method that automates the sampling and control of gaseous fluid simulations. Several recent approaches have provided techniques for artists to generate high-resolution simulations based on a low-resolution simulation. However, often in applications the overall flow in the low-resolution simulation that an animator observes and intends to preserve is composed of even lower frequencies than the low resolution itself. In such cases, attempting to match the low-resolution simulation precisely is unnecessarily restrictive. We propose a new sampling technique to efficiently capture the overall flow of a fluid simulation, at the scale of user's choice, in such a way that the sampled information is sufficient to represent what is virtually perceived and no more. Thus, by applying control based on the sampled data, we ensure that in the resulting high-resolution simulation, the overall flow is matched to the low-resolution simulation and the fine details on the high resolution are preserved. The samples we obtain have both spatial and temporal continuity that allows smooth keyframe matching and direct manipulation of visible elements such as smoke density through temporal blending of samples. We demonstrate that a user can easily configure a simulation with our system to achieve desired results. © 2013 Springer-Verlag Berlin Heidelberg.
Citation:
Huang R, Keyser J (2013) Automated sampling and control of gaseous simulations. Vis Comput 29: 751–760. Available: http://dx.doi.org/10.1007/s00371-013-0798-0.
Publisher:
Springer Nature
Journal:
The Visual Computer
KAUST Grant Number:
KUS-CI-016-04
Issue Date:
4-May-2013
DOI:
10.1007/s00371-013-0798-0
Type:
Article
ISSN:
0178-2789; 1432-2315
Sponsors:
This publication is based in part on work supported by NSF Grant IIS-0917286 and by Award Number KUS-CI-016-04, made by King Abdullah University of Science and Technology (KAUST).
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorHuang, Ruoguanen
dc.contributor.authorKeyser, Johnen
dc.date.accessioned2016-02-25T12:43:31Zen
dc.date.available2016-02-25T12:43:31Zen
dc.date.issued2013-05-04en
dc.identifier.citationHuang R, Keyser J (2013) Automated sampling and control of gaseous simulations. Vis Comput 29: 751–760. Available: http://dx.doi.org/10.1007/s00371-013-0798-0.en
dc.identifier.issn0178-2789en
dc.identifier.issn1432-2315en
dc.identifier.doi10.1007/s00371-013-0798-0en
dc.identifier.urihttp://hdl.handle.net/10754/597638en
dc.description.abstractIn this work, we describe a method that automates the sampling and control of gaseous fluid simulations. Several recent approaches have provided techniques for artists to generate high-resolution simulations based on a low-resolution simulation. However, often in applications the overall flow in the low-resolution simulation that an animator observes and intends to preserve is composed of even lower frequencies than the low resolution itself. In such cases, attempting to match the low-resolution simulation precisely is unnecessarily restrictive. We propose a new sampling technique to efficiently capture the overall flow of a fluid simulation, at the scale of user's choice, in such a way that the sampled information is sufficient to represent what is virtually perceived and no more. Thus, by applying control based on the sampled data, we ensure that in the resulting high-resolution simulation, the overall flow is matched to the low-resolution simulation and the fine details on the high resolution are preserved. The samples we obtain have both spatial and temporal continuity that allows smooth keyframe matching and direct manipulation of visible elements such as smoke density through temporal blending of samples. We demonstrate that a user can easily configure a simulation with our system to achieve desired results. © 2013 Springer-Verlag Berlin Heidelberg.en
dc.description.sponsorshipThis publication is based in part on work supported by NSF Grant IIS-0917286 and by Award Number KUS-CI-016-04, made by King Abdullah University of Science and Technology (KAUST).en
dc.publisherSpringer Natureen
dc.subjectBilateral samplingen
dc.subjectEulerian simulationen
dc.subjectPoisson disk samplingen
dc.subjectSimulation controlen
dc.titleAutomated sampling and control of gaseous simulationsen
dc.typeArticleen
dc.identifier.journalThe Visual Computeren
dc.contributor.institutionTexas A and M University, College Station, United Statesen
kaust.grant.numberKUS-CI-016-04en
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