Abstract
This paper introduces Voronoi squared distance minimization (VSDM), an algorithm that fits a surface to an input mesh. VSDM minimizes an objective function that corresponds to a Voronoi-based approximation of the overall squared distance function between the surface and the input mesh (SDM). This objective function is a generalization of the one minimized by centroidal Voronoi tessellation, and can be minimized by a quasi-Newton solver. VSDM naturally adapts the orientation of the mesh elements to best approximate the input, without estimating any differential quantities. Therefore, it can be applied to triangle soups or surfaces with degenerate triangles, topological noise and sharp features. Applications of fitting quad meshes and polynomial surfaces to input triangular meshes are demonstrated. © 2012 Springer-Verlag London.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 289-300 |
| Number of pages | 12 |
| Journal | Engineering with Computers |
| Volume | 30 |
| Issue number | 3 |
| DOIs | |
| State | Published - Nov 6 2012 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledgements: The authors wish to thank Sylvain Lefebvre for a discussion (about an unrelated topic) that inspired this work, Rhaleb Zayer, Xavier Goaoc, Tamy Boubekeur, Yang Liu and Wenping Wang for many discussions, Loic Marechal, Marc Loriot and the AimAtShape repository for data. This project is partly supported by the European Research Council grant GOODSHAPE ERC-StG-205693 and ANR/NSFC (60625202,60911130368) Program (SHAN Project).
ASJC Scopus subject areas
- Modeling and Simulation
- Software
- General Engineering
- Computer Science Applications