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Visibility estimation in point clouds with variable density

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBIASUTTI, Pierre
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBUGEAU, Aurélie
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorAUJOL, Jean-François
hal.structure.identifierMéthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution [MATIS]
dc.contributor.authorBRÉDIF, Mathieu
dc.date.accessioned2024-04-04T03:02:07Z
dc.date.available2024-04-04T03:02:07Z
dc.date.conference2019-02-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192952
dc.description.abstractEnEstimating visibility in point clouds has many applications such as visualization, surface reconstruction and scene analysis through fusion of LiDAR point clouds and images. However, most current works rely on methods that require strong assumptions on the point cloud density, which are not valid for LiDAR point clouds acquired from mobile mapping systems, leading to low quality of point visibility estimations. This work presents a novel approach for the estimation of the visibility of a point cloud from a viewpoint. The method is designed to be fully automatic and it makes no assumption on the point cloud density. The visibility of each point is estimated by considering its screen-space neighborhood from the given viewpoint. Our resultsshow that our approach succeeds better in estimating the visibility on real-world data acquired using LiDAR scanners. We evaluate our approach by comparing its results to a new manually annotated dataset, which we make available online.
dc.language.isoen
dc.subject.enbenchmark
dc.subject.envisibility
dc.subject.en3D point cloud
dc.subject.envisualization
dc.subject.enLiDAR
dc.subject.endataset
dc.title.enVisibility estimation in point clouds with variable density
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleInternational Conference on Computer Vision Theory and Applications (VISAPP)
bordeaux.countryCZ
bordeaux.conference.cityPrague
bordeaux.peerReviewedoui
hal.identifierhal-01812061
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01812061v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=BIASUTTI,%20Pierre&BUGEAU,%20Aur%C3%A9lie&AUJOL,%20Jean-Fran%C3%A7ois&BR%C3%89DIF,%20Mathieu&rft.genre=unknown


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