Visibility estimation in point clouds with variable density
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | BIASUTTI, Pierre | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | BUGEAU, Aurélie | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | AUJOL, Jean-François | |
| hal.structure.identifier | Méthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution [MATIS] | |
| dc.contributor.author | BRÉDIF, Mathieu | |
| dc.date.accessioned | 2024-04-04T03:02:07Z | |
| dc.date.available | 2024-04-04T03:02:07Z | |
| dc.date.conference | 2019-02-25 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192952 | |
| dc.description.abstractEn | Estimating 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.iso | en | |
| dc.subject.en | benchmark | |
| dc.subject.en | visibility | |
| dc.subject.en | 3D point cloud | |
| dc.subject.en | visualization | |
| dc.subject.en | LiDAR | |
| dc.subject.en | dataset | |
| dc.title.en | Visibility estimation in point clouds with variable density | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV] | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | International Conference on Computer Vision Theory and Applications (VISAPP) | |
| bordeaux.country | CZ | |
| bordeaux.conference.city | Prague | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01812061 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01812061v1 | |
| bordeaux.COinS | ctx_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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