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.
Type de document :
Article dans une revue
Computer Graphics Forum, Wiley, 2016
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https://hal.inria.fr/hal-01266179
Contributeur : Thibaud Lambert <>
Soumis le : lundi 23 mai 2016 - 17:20:32
Dernière modification le : vendredi 17 février 2017 - 16:14:13

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Distributed under a Creative Commons Paternité 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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