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Approximating the Generalized Voronoi Diagram of Closely Spaced Objects

We present an algorithm to compute an approximation of the generalized Voronoi diagram (GVD) on arbitrary collections of 2D or 3D geometric objects. In particular, we focus on datasets with closely spaced objects; GVD approximation is expensive and sometimes intractable on these datasets using previ...

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Detalhes bibliográficos
Publicado no:Comput Graph Forum
Main Authors: Edwards, John, Daniel, Eric, Pascucci, Valerio, Bajaj, Chandrajit
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4986922/
https://ncbi.nlm.nih.gov/pubmed/27540272
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/cgf.12561
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