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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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| Pubblicato in: | Comput Graph Forum |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | 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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