Multi-Resolution Meshes for Feature-Aware Hardware Tessellation

Thibaud Lambert 1, 2 Pierre Bénard 1, 2 Gael Guennebaud 1, 2
2 MANAO - Melting the frontiers between Light, Shape and Matter
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, LP2N - Laboratoire Photonique, Numérique et Nanosciences
Abstract : Hardware tessellation is de facto the preferred mechanism to adaptively control mesh resolution with maximal performances. However, owing to its fixed and uniform pattern, leveraging tessellation for feature-aware LOD rendering remains a challenging problem. We relax this fundamental constraint by introducing a new spatial and temporal blending mechanism of tessellation levels, which is built on top of a novel hierarchical representation of multi-resolution meshes. This mechanism allows to finely control topological changes so that vertices can be removed or added at the most appropriate location to preserve geometric features in a continuous and artifact-free manner. We then show how to extend edge-collapse based decimation methods to build feature-aware multi-resolution meshes that match the tessellation patterns. Our approach is fully compatible with current hardware tessellators and only adds a small overhead on memory consumption and tessellation cost.
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Journal articles
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https://hal.inria.fr/hal-01266179
Contributor : Thibaud Lambert <>
Submitted on : Monday, May 23, 2016 - 5:20:32 PM
Last modification on : Thursday, January 11, 2018 - 6:24:06 AM

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Distributed under a Creative Commons Attribution 4.0 International License

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  • HAL Id : hal-01266179, version 1

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Thibaud Lambert, Pierre Bénard, Gael Guennebaud. Multi-Resolution Meshes for Feature-Aware Hardware Tessellation. Computer Graphics Forum, Wiley, 2016. ⟨hal-01266179⟩

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