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Conference object . 2011
Data sources: INRIA2
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https://doi.org/10.1109/isvd.2...
Article . 2011 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
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Computing 2D Periodic Centroidal Voronoi Tessellation

Authors: Yan, Dong-Ming; Wang, Kai; Lévy, Bruno; Alonso, Laurent;

Computing 2D Periodic Centroidal Voronoi Tessellation

Abstract

In this paper, we propose an efficient algorithm to compute the centroidal Voronoi tessellation in 2D periodic space. We first present a simple algorithm for constructing the periodic Voronoi diagram (PVD) from a Euclidean Voronoi diagram. The presented PVD algorithm considers only a small set of periodic copies of the input sites, which is more efficient than previous approaches requiring full copies of the sites (9 in 2D and 27 in 3D). The presented PVD algorithm is applied in a fast Newton-based framework for computing the centroidal Voronoi tessellation (CVT). We observe that full-hexagonal patterns can be obtained via periodic CVT optimization attributed to the convergence of the Newton-based CVT computation.

Country
France
Keywords

Periodic Voronoi diagram, hexagonal pattern, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Delaunay triangulation, centroidal Voronoi tessellation

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
Green