Detail‐Preserving Explicit Mesh Projection and Topology Matching for Particle‐Based Fluids

dc.contributor.authorDagenais, F.en_US
dc.contributor.authorGagnon, J.en_US
dc.contributor.authorPaquette, E.en_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2018-01-10T07:43:09Z
dc.date.available2018-01-10T07:43:09Z
dc.date.issued2017
dc.description.abstractWe propose a new explicit surface tracking approach for particle‐based fluid simulations. Our goal is to advect and update a highly detailed surface, while only computing a coarse simulation. Current explicit surface methods lose surface details when projecting on the isosurface of an implicit function built from particles. Our approach uses a detail‐preserving projection, based on a signed distance field, to prevent the divergence of the explicit surface without losing its initial details. Furthermore, we introduce a novel topology matching stage that corrects the topology of the explicit surface based on the topology of an implicit function. To that end, we introduce an optimization approach to update our explicit mesh signed distance field before remeshing. Our approach is successfully used to preserve the surface details of melting and highly viscous objects, and shown to be stable by handling complex cases involving multiple topological changes. Compared to the computation of a high‐resolution simulation, using our approach with a coarse fluid simulation significantly reduces the computation time and improves the quality of the resulting surface.We propose a new explicit surface tracking approach for particle‐based fluid simulations. Our goal is to advect and update a highly detailed surface, while only computing a coarse simulation. Current explicit surface methods lose surface details when projecting on the isosurface of an implicit function built from particles. Our approach uses a detail‐preserving projection, based on a signed distance field, to prevent the divergence of the explicit surface without losing its initial details. Furthermore, we introduce a novel topology matching stage that corrects the topology of the explicit surface based on the topology of an implicit function. To that end, we introduce an optimization approach to update our explicit mesh signed distance field before remeshing.en_US
dc.description.number8
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13091
dc.identifier.issn1467-8659
dc.identifier.pages444-457
dc.identifier.urihttps://doi.org/10.1111/cgf.13091
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13091
dc.publisher© 2017 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectfluid modelling
dc.subjectanimation
dc.subjectphysically based animation
dc.subjectanimation
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling
dc.subjectPhysically based modelling I.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism
dc.subjectAnimation
dc.titleDetail‐Preserving Explicit Mesh Projection and Topology Matching for Particle‐Based Fluidsen_US
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