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Proceedings ArticleDOI

Dual/Primal mesh optimization for polygonized implicit surfaces

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TLDR
A new method for improving polygonizations of implicit surfaces with sharp features is proposed, which outperforms approaches based on the mesh evolution paradigm in speed and accuracy.
Abstract
A new method for improving polygonizations of implicit surfaces with sharp features is proposed. The method is based on the observation that, given an implicit surface with sharp features, a triangle mesh whose triangles are tangent to the implicit surface at certain inner triangle points gives a better approximation of the implicit surface than the standard marching cubes mesh Lorensen(in our experiments we use VTK marching cubes VTK). First, given an initial triangle mesh, its dual mesh composed of the triangle centroids is considered. Then the dual mesh is modified such that its vertices are placed on the implicit surface and the mesh dual to the modified dual mesh is considered. Finally the vertex positions of that "double dual" mesh are optimized by minimizing a quadratic energy measuring a deviation of the mesh normals from the implicit surface normals computed at the vertices of the modified dual mesh. In order to achieve an accurate approximation of fine surface features, these basic steps are combined with adaptive mesh subdivision and curvature-weighted vertex resampling. The proposed method outperforms approaches based on the mesh evolution paradigm in speed and accuracy.

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Proceedings ArticleDOI

Multi-level partition of unity implicits

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Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids

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Noise removal using smoothed normals and surface fitting

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A Multi-scale Approach to 3D Scattered Data Interpolation with Compactly Supported Basis Functions

TL;DR: The numerical experiments suggest that the approach integrates the best aspects of scattered data fitting with locally and globally supported basis functions and is essentially faster than the state-of-the-art scattered data approximation with globally supported RBFs and much simpler to implement.
Proceedings ArticleDOI

A multi-scale approach to 3D scattered data interpolation with compactly supported basis functions

TL;DR: In this article, a hierarchical approach to 3D scattered data interpolation with compactly supported basis functions is proposed, which integrates the best aspects of scattered data fitting with locally and globally supported RBFs.
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Proceedings ArticleDOI

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