NDLI: A new algorithm for finding polygonal voids in Delaunay triangulations and its parallelization

Content Provider	Semantic Scholar
Author	Ojeda, José Alonso, Rodrigo Hitschfeld-Kahler, Nancy
Copyright Year	2018
Abstract	A known geometrical problem is to find low density zones (voids) in planar point sets and to represent them as polygons. In this paper we recall the concept of terminal-edge region to identify subvoid candidates over a triangulation, present a linear algorithm to find subvoids taking as input a Delaunay triangulation, and show that this new strategy can be naturally parallelized using GPU computing. We also show preliminary experimental results.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://conference.imp.fu-berlin.de/eurocg18/download/paper_56.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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