Indoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cut

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dc.contributor.authorOesau, Svenen_US
dc.contributor.authorLafarge, Florenten_US
dc.contributor.authorAlliez, Pierreen_US
dc.contributor.editorVincent Tourre and Gonzalo Besuievskyen_US
dc.date.accessioned2014-01-27T16:58:57Z
dc.date.available2014-01-27T16:58:57Z
dc.date.issued2013en_US
dc.description.abstractWe present a method for automatic reconstruction of permanent structures of indoor scenes, such as walls, floors and ceilings, from raw point clouds acquired by laser scanners. Our approach employs graph-cut to solve an inside/outside labeling of a space decomposition. To allow for an accurate reconstruction the space decomposition is aligned with permanent structures. A Hough Transform is applied for extracting the wall directions while allowing a flexible reconstruction of scenes. The graph-cut formulation takes into account data consistency through an inside/outside prediction for the cells of the space decomposition by stochastic ray casting, while favoring low geometric complexity of the model. Our experiments produces watertight reconstructed models of multi-level buildings and complex scenes.en_US
dc.description.seriesinformationEurographics Workshop on Urban Data Modelling and Visualisationen_US
dc.identifier.isbn978-3-905674-46-0en_US
dc.identifier.issn2307-8251en_US
dc.identifier.urihttps://doi.org/10.2312/UDMV/UDMV13/009-012en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.5 [Computer Graphics]en_US
dc.subjectComputational Geometry and Object Modelingen_US
dc.subjectBoundary representationsen_US
dc.subjectCurveen_US
dc.subjectsurfaceen_US
dc.subjectsoliden_US
dc.subjectand object representationsen_US
dc.titleIndoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cuten_US
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UDMV13: Eurographics Workshop on Urban Data Modelling and Visualisation