A New Microflake Model With Microscopic Self-shadowing for Accurate Volume Downsampling

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dc.contributor.authorLoubet, Guillaumeen_US
dc.contributor.authorNeyret, Fabriceen_US
dc.contributor.editorGutierrez, Diego and Sheffer, Allaen_US
dc.date.accessioned2018-04-14T18:23:10Z
dc.date.available2018-04-14T18:23:10Z
dc.date.issued2018
dc.description.abstractNaive linear methods for downsampling high-resolution microflake volumes often produce inaccurate appearance, especially when input voxels are very opaque. Preserving correct appearance at all resolutions requires taking into account maskingshadowing effects that occur between and inside dense input voxels. We introduce a new microflake model whose additional parameters characterize self-shadowing effects at a microscopic scale. We provide an anisotropic self-shadowing function and microflake distributions for which the scattering coefficients and the phase functions of our model have closed-form expressions. We use this model in a new downsampling approach in which scattering parameters are computed from local estimations of self-shadowing probabilities in the input volume. Unlike previous work, our method handles datasets with spatially varying scattering parameters, semi-transparent volumes and datasets with intricate silhouettes. We show that our method generates LoDs with correct transparency and consistent appearance through scales for a wide range of challenging datasets, allowing for huge memory savings and efficient distant rendering without loss of quality.en_US
dc.description.number2
dc.description.sectionheadersMaterial Appearance
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13346
dc.identifier.issn1467-8659
dc.identifier.pages111-121
dc.identifier.urihttps://doi.org/10.1111/cgf.13346
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13346
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectRay tracing
dc.subjectVolumetric models
dc.titleA New Microflake Model With Microscopic Self-shadowing for Accurate Volume Downsamplingen_US
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