2012
DOI: 10.1016/j.cad.2012.05.002
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Improved initialisation for centroidal Voronoi tessellation and optimal Delaunay triangulation

Abstract: Centroidal Voronoi tessellations and optimal Delaunay triangulations can be approximated efficiently by non-linear optimisation algorithms. This paper demonstrates that the point distribution used to initialise the optimisation algorithms is important. Compared to conventional random initialisation, certain low-discrepancy point distributions help convergence towards more spatially regular results and require fewer iterations for planar and volumetric tessellations.

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Cited by 5 publications
(9 citation statements)
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“…As pointed out by Quinn et al . [QSL*12], this method can be time‐consuming, and the sites may not be regularly positioned if the object is not described by a regular mesh. Consequently, the quality of the resulting CVT can be even worse than using random sampling.…”
Section: Background and Related Workmentioning
confidence: 99%
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“…As pointed out by Quinn et al . [QSL*12], this method can be time‐consuming, and the sites may not be regularly positioned if the object is not described by a regular mesh. Consequently, the quality of the resulting CVT can be even worse than using random sampling.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Quinn et al . suggest to use Hammersley sequences to generate the initial site locations [QSL*12]. Hammersley sequences have correlated positions, which means that the probability of a site being at some position depends on the positions of its neighbours.…”
Section: Background and Related Workmentioning
confidence: 99%
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