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dc.contributor.authorFestenberg, Niels v.en_US
dc.contributor.authorGumhold, Stefanen_US
dc.contributor.editorEric Galin and Jens Schneideren_US
dc.date.accessioned2014-01-28T18:29:24Z
dc.date.available2014-01-28T18:29:24Z
dc.date.issued2009en_US
dc.identifier.isbn978-3-905674-11-8en_US
dc.identifier.issn1816-0867en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EG/DL/conf/EG2009/nph/017-025en_US
dc.description.abstractFreshly fallen snow is a popular natural phenomenon able to evoke great beauty in all kinds of scenes. However, there still does not exist an all-purpose algorithm for automated snow distribution in virtual worlds. Previous works modelled snow either relying on costly particle simulations or oversimplified surface displacements. In this paper we develop a novel geometric snow model. In a first step, we propose a statistical snow deposition model inspired by real world observations. This statistical model is used to derive a geometric snow shape formulation. The geometric scheme is implemented with an enhanced height span map. Scene geometry is expressed with two parameter fields that enable us to efficiently compute snow cover geometry. A selection of snow covered scenes demonstrates the realism that can be achieved with this new method.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA Geometric Algorithm for Snow Distribution in Virtual Scenesen_US
dc.description.seriesinformationEurographics Workshop on Natural Phenomenaen_US


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