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dc.contributor.authorKreveld, Marc vanen_US
dc.contributor.authorLankveld, Thijs vanen_US
dc.contributor.authorVeltkamp, Remco C.en_US
dc.contributor.editorYaron Lipman and Hao Zhangen_US
dc.date.accessioned2015-02-28T15:51:40Z
dc.date.available2015-02-28T15:51:40Z
dc.date.issued2013en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12188en_US
dc.description.abstractThe demand for large geometric models is increasing, especially of urban environments. This has resulted in production of massive point cloud data from images or LiDAR. Visualization and further processing generally require a detailed, yet concise representation of the scene's surfaces. Related work generally either approximates the data with the risk of over-smoothing, or interpolates the data with excessive detail. Many surfaces in urban scenes can be modeled more concisely by planar approximations. We present a method that combines these polygons into a watertight model. The polygon-based shape is closed with free-form meshes based on visibility information. To achieve this, we divide 3-space into inside and outside volumes by combining a constrained Delaunay tetrahedralization with a graph-cut. We compare our method with related work on several large urban LiDAR data sets. We construct similar shapes with a third fewer triangles to model the scenes. Additionally, our results are more visually pleasing and closer to a human modeler's description of urban scenes using simple boxes.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectComputer Graphics [I.3.5]en_US
dc.subjectComputational Geometry and Object Modelingen_US
dc.subjectGeometric algorithmsen_US
dc.subjectSurface and solid representationsen_US
dc.subjectComputer Graphics [I.3.7]en_US
dc.subjectThreeen_US
dc.subjectdimensional Graphics and Realismen_US
dc.subjectVisible line/surface algorithmsen_US
dc.titleWatertight Scenes from Urban LiDAR and Planar Surfacesen_US
dc.description.seriesinformationComputer Graphics Forumen_US


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