Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/97398
Title: | Generalized edge-weighted centroidal Voronoi tessellations for geometry processing | Authors: | Wang, Yu Ju, Lili Wang, Desheng Wang, Xiaoqiang |
Issue Date: | 2012 | Source: | Wang, Y., Ju, L., Wang, D.,& Wang, X. (2012). Generalized edge-weighted centroidal Voronoi tessellations for geometry processing. Computers & Mathematics with Applications, 64(8), 2663-2681. | Series/Report no.: | Computers & mathematics with applications | Abstract: | In this paper, we propose a generalized edge-weighted centroidal Voronoi tessellation (GEWCVT) model and corresponding solution algorithms, then apply them for geometry processing such as curve/surface smoothing and reconstruction. The main idea of the method is to seek a good way to discretize the similarity and regularity measures of the objective functional in the context of centroidal Voronoi tessellation methodology, so that its minimization can be done by clustering-type algorithms. Through various numerical examples, the proposed GEWCVT-based method is shown to be an effective and robust tool for such applications. | URI: | https://hdl.handle.net/10356/97398 http://hdl.handle.net/10220/13133 |
ISSN: | 0898-1221 | DOI: | 10.1016/j.camwa.2012.07.011 | Schools: | School of Physical and Mathematical Sciences | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SPMS Journal Articles |
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