Level-of-Detail Quad Meshing

Abstract : The most effective and popular tools for obtaining feature aligned quad meshes from triangular input meshes are based on cross field guided parametrization. These methods are incarnations of a conceptual three-step pipeline: (1) cross field computation, (2) field- guided surface parametrization, (3) quad mesh extraction. While in most meshing scenarios the user prescribes a desired target quad size or edge length, this information is typically taken into account from step 2 onwards only, but not in the cross field computation step. This turns into a problem in the presence of small scale geometric or topological features or noise in the input mesh: closely placed singularities are induced in the cross field, which are not properly reproducible by vertices in a quad mesh with the pre- scribed edge length, causing severe distortions or even failure of the meshing algorithm. We reformulate the construction of cross fields as well as field-guided parametrizations in a scale-aware manner which effectively suppresses densely spaced features and noise of geometric as well as topological kind. Dominant large-scale features are adequately preserved in the output by relying on the unaltered input mesh as the computational domain.
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Article dans une revue
ACM Transactions on Graphics, Association for Computing Machinery, 2014, 33 (6)
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Contributeur : David Bommes <>
Soumis le : mardi 23 septembre 2014 - 12:49:18
Dernière modification le : jeudi 8 février 2018 - 16:20:02
Document(s) archivé(s) le : mercredi 24 décembre 2014 - 20:54:42


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  • HAL Id : hal-01067289, version 1



Hans-Christian Ebke, Marcel Campen, David Bommes, Leif Kobbelt. Level-of-Detail Quad Meshing. ACM Transactions on Graphics, Association for Computing Machinery, 2014, 33 (6). 〈hal-01067289〉



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