Anisotropic quadrangulation

  • Authors:
  • Denis Kovacs;Ashish Myles;Denis Zorin

  • Affiliations:
  • New York University;New York University;New York University

  • Venue:
  • Proceedings of the 14th ACM Symposium on Solid and Physical Modeling
  • Year:
  • 2010

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Abstract

Quadrangulation methods aim to approximate surfaces by semi-regular meshes with as few extraordinary vertices as possible. A number of techniques use the harmonic parameterization to keep quads close to squares, or fit parametrization gradients to align quads to features. Both types of techniques create near-isotropic quads; feature-aligned quadrangulation algorithms reduce the remeshing error by aligning isotropic quads with principal curvature directions. A complimentary approach is to allow for anisotropic elements, which are well-known to have significantly better approximation quality. In this work we present a simple and efficient technique to add curvature-dependent anisotropy to harmonic and feature-aligned parameterization and improve the approximation error of the quadran-gulations. We use a metric derived from the shape operator which results in a more uniform error distribution, decreasing the error near features.