Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets - Archive ouverte HAL Access content directly
Journal Articles Computer Graphics Forum Year : 2017

Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets

Abstract

We address the problem of constructing appearance-preserving level of details (LoDs) of complex 3D models such as trees. We propose a hybrid method that combines the strengths of mesh and volume representations. Our main idea is to separate macroscopic (i.e. larger than the target spatial resolution) and microscopic (sub-resolution) surfaces at each scale and to treat them differently, because meshes are very efficient at representing macroscopic surfaces while sub-resolution geometry benefits from volumetric approximations. We introduce a new algorithm that detects the macroscopic surfaces of a mesh for a given resolution. We simplify these surfaces with edge collapses and we provide a method for pre-filtering their normal distributions and albedos. To approximate microscopic details, we use a heterogeneous microflake participating medium and we introduce a new artifact-free voxelization algorithm that preserves local occlusion. Thanks to our macroscopic surface analysis, our algorithm is fully automatic and it generates seamless LoDs at arbitrarily coarse resolutions for a wide range of 3D models.
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Dates and versions

hal-01468817 , version 1 (16-02-2017)

Identifiers

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Guillaume Loubet, Fabrice Neyret. Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets. Computer Graphics Forum, 2017, 36 (2), pp.431--442. ⟨10.1111/cgf.13138⟩. ⟨hal-01468817⟩
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