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dc.contributor.authorMarco, Julioen_US
dc.contributor.authorJarosz, Wojciechen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.authorJarabo, Adrianen_US
dc.contributor.editorFco. Javier Melero and Nuria Pelechanoen_US
dc.date.accessioned2017-06-26T16:32:51Z
dc.date.available2017-06-26T16:32:51Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-046-8
dc.identifier.issn-
dc.identifier.urihttp://dx.doi.org/10.2312/ceig.20171216
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/ceig20171216
dc.description.abstractRecent advances on transient imaging and their applications have opened the necessity of forward models that allow precise generation and analysis of time-resolved light transport data. However, traditional steady-state rendering techniques are not suitable for computing transient light transport due to the aggravation of the inherent Monte Carlo variance over time. These issues are specially problematic in participating media, which demand high number of samples to achieve noise-free solutions. We address this problem by presenting the first photon-based method for transient rendering of participating media that performs density estimations on time-resolved precomputed photon maps. We first introduce the transient integral form of the radiative transfer equation into the computer graphics community, including transient delays on the scattering events. Based on this formulation we leverage the high density and parameterized continuity provided by photon beams algorithms to present a new transient method that allows to significantly mitigate variance and efficiently render participating media effects in transient state.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputer Graphics
dc.subject> Three
dc.subjectdimensional graphics and realism
dc.subjectRaytracing
dc.subjectTransient rendering
dc.titleTransient Photon Beamsen_US
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.description.sectionheadersIllumination
dc.identifier.doi10.2312/ceig.20171216
dc.identifier.pages107-112


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  • CEIG17
    ISBN 978-3-03868-046-8

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