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dc.contributor.authorHuang, Ruoguan
dc.contributor.authorKeyser, John
dc.date.accessioned2016-02-25T12:43:31Z
dc.date.available2016-02-25T12:43:31Z
dc.date.issued2013-05-04
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.
dc.identifier.issn0178-2789
dc.identifier.issn1432-2315
dc.identifier.doi10.1007/s00371-013-0798-0
dc.identifier.urihttp://hdl.handle.net/10754/597638
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.
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).
dc.publisherSpringer Nature
dc.subjectBilateral sampling
dc.subjectEulerian simulation
dc.subjectPoisson disk sampling
dc.subjectSimulation control
dc.titleAutomated sampling and control of gaseous simulations
dc.typeArticle
dc.identifier.journalThe Visual Computer
dc.contributor.institutionTexas A and M University, College Station, United States
kaust.grant.numberKUS-CI-016-04
dc.date.published-online2013-05-04
dc.date.published-print2013-06


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