On Centroidal Voronoi Tessellation--Energy Smoothness and Fast Computation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles ACM Transactions on Graphics Year : 2009

On Centroidal Voronoi Tessellation--Energy Smoothness and Fast Computation


Centroidal Voronoi tessellation (CVT) is a particular type of Voronoi tessellation that has many applications in computational sciences and engineering, including computer graphics. The prevail- ing method for computing CVT is Lloyd's method, which has linear convergence and is inefficient in practice. We develop new efficient methods for CVT computation and demonstrate the fast convergence of these methods. Specifically, we show that the CVT energy function has 2nd order smoothness for convex domains with smooth density, as well as in most situations encountered in optimization. Due to the 2nd order smoothness, it is therefore possible to minimize the CVT energy functions using Newton-like optimization methods and expect fast convergence. We propose a quasi-Newton method to compute CVT and demonstrate its faster convergence than Lloyd's method with various numerical examples. It is also significantly faster and more robust than the Lloyd-Newton method, a previous attempt to accelerate CVT. We also demonstrate surface remeshing as a possible application.
Fichier principal
Vignette du fichier
cvt_tog.pdf (6.04 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00547936 , version 1 (17-12-2010)



Yang Liu, Wenping Wang, Bruno Lévy, Feng Sun, Dong-Ming Yan, et al.. On Centroidal Voronoi Tessellation--Energy Smoothness and Fast Computation. ACM Transactions on Graphics, 2009, 28 (4), pp.Article 101. ⟨10.1145/1559755.1559758⟩. ⟨inria-00547936⟩
2113 View
1662 Download



Gmail Facebook X LinkedIn More