Denis Kovacs
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.
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Index Terms
- Anisotropic quadrangulation
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