Robust Reconstruction of Interior Building Structures with Multiple Rooms under Clutter and Occlusions

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dc.contributor.authorMura, Claudio
dc.contributor.authorMattausch, Oliver
dc.contributor.authorJaspe, Alberto Villanueva
dc.contributor.authorGobbetti, Enrico
dc.contributor.authorPajarola, Renato
dc.date.accessioned2014-05-16T10:15:23Z
dc.date.available2014-05-16T10:15:23Z
dc.date.issued2013
dc.description.abstractWe present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract planar patches as candidate walls, separating them from clutter and coping with missing data. Using a diffusion process to further increase its robustness, our algorithm is able to reconstruct a clean architectural model from the candidate walls. To our knowledge, this is the first indoor reconstruction method which goes beyond a binary classification and automatically recognizes different rooms as separate components. We demonstrate the validity of our approach by testing it on both synthetic models and real-world 3D scans of indoor environments.IT
dc.identifier.urihttp://hdl.handle.net/11050/911
dc.language.isoenIT
dc.publisherIEEEIT
dc.relation.ispartofProceedings IEEE Conference on Computer-Aided Design and Computer GraphicsIT
dc.subject3D reconstructionIT
dc.subjectindoor scene reconstructionIT
dc.subjectLIDAR reconstructionIT
dc.subjectpoint cloud processingIT
dc.subject.een-cordisEEN CORDIS::ELETTRONICA, INFORMATICA E TELECOMUNICAZIONI::Multimedia::Visualizzazione, realtà virtualeIT
dc.subject.progettiProgetti::Bando competitivo/Grant::Finanziamento europeo/internazionale::EC FP7, FP6, FP5::DIVA - Data Intensive Visualization and AnalysisIT
dc.subject.programProgram::Data Fusion::Visual Computing (VIC)IT
dc.titleRobust Reconstruction of Interior Building Structures with Multiple Rooms under Clutter and OcclusionsIT
dc.typeContributo in un libroIT
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