Approximating the Generalized Voronoi Diagram of Closely Spaced Objects

dc.contributor.authorEdwards, Johnen_US
dc.contributor.authorDaniel, Ericen_US
dc.contributor.authorPascucci, Valerioen_US
dc.contributor.authorBajaj, Chandrajiten_US
dc.contributor.editorOlga Sorkine-Hornung and Michael Wimmeren_US
dc.date.accessioned2015-04-16T07:44:35Z
dc.date.available2015-04-16T07:44:35Z
dc.date.issued2015en_US
dc.description.abstractWe 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 previous algorithms. With our approach, the GVD can be computed using commodity hardware even on datasets with many, extremely tightly packed objects. Our approach is to subdivide the space with an octree that is represented with an adjacency structure. We then use a novel adaptive distance transform to compute the distance function on octree vertices. The computed distance field is sampled more densely in areas of close object spacing, enabling robust and parallelizable GVD surface generation. We demonstrate our method on a variety of data and show example applications of the GVD in 2D and 3D.en_US
dc.description.number2en_US
dc.description.sectionheadersShape Manipulationen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12561en_US
dc.identifier.pages299-309en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12561en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputer Graphics [I.3.5]en_US
dc.subjectComputational Geometry and Object Modelingen_US
dc.subjectBoundary representations Computer Graphics [I.3.6]en_US
dc.subjectMethodology and Techniquesen_US
dc.subjectGraphics data structures and data typesen_US
dc.titleApproximating the Generalized Voronoi Diagram of Closely Spaced Objectsen_US
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