On centroidal voronoi tessellation energy smoothness and fast computation

Yang Liu*, Wenping Wang, Bruno Lévy, Feng Sun, Dongming Yan, Lin Lu, Chenglei Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

218 Scopus citations

Abstract

Centroidal Voronoi tessellation (CVT) is a particular type of Voronoi tessellation that has many applications in computational sciences and engineering, including computer graphics. The prevailing 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 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.

Original languageEnglish (US)
JournalACM Transactions on Graphics
Volume28
Issue number4
DOIs
StatePublished - Aug 1 2009

Keywords

  • Centroidal Voronoi tessellation
  • Constrained CVT
  • Lloyd's method
  • Numerical optimization
  • Quasi-Newton methods
  • Remeshing

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

Fingerprint

Dive into the research topics of 'On centroidal voronoi tessellation energy smoothness and fast computation'. Together they form a unique fingerprint.

Cite this