Level-of-Detail Quad Meshing - Archive ouverte HAL Access content directly
Journal Articles ACM Transactions on Graphics Year : 2014

Level-of-Detail Quad Meshing

(1) , (1) , (2) , (1)
1
2
David Bommes
  • Function : Author
  • PersonId : 933763
Leif Kobbelt
  • Function : Author
  • PersonId : 933764

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.
Fichier principal
Vignette du fichier
ecbk2014_print.pdf (5.52 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01067289 , version 1 (23-09-2014)

Identifiers

  • HAL Id : hal-01067289 , version 1

Cite

Hans-Christian Ebke, Marcel Campen, David Bommes, Leif Kobbelt. Level-of-Detail Quad Meshing. ACM Transactions on Graphics, 2014, 33 (6). ⟨hal-01067289⟩

Collections

INRIA INRIA2
374 View
666 Download

Share

Gmail Facebook Twitter LinkedIn More