Effective Shapes Generation for Bayesian CAD Model Reconstruction

dc.contributor.authorBey, Aurelienen_US
dc.contributor.authorChaine, Raphaelleen_US
dc.contributor.authorMarc, Raphaelen_US
dc.contributor.authorThibault, Guillaumeen_US
dc.contributor.editorM. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreiraen_US
dc.date.accessioned2013-09-24T10:53:07Z
dc.date.available2013-09-24T10:53:07Z
dc.date.issued2012en_US
dc.description.abstractWe address the reconstruction of CAD models from 3D point clouds, assuming that an a priori CAD model, roughly similar to the scene to reconstruct, is given. The problem can be solved using a Bayesian approach which states the reconstruction task as the search of the most probable CAD model. This article presents a reliable cylinder generation algorithm that can be used to efficiently reach the configuration which maximizes the target probability, combined with an efficient specific optimization heuristic. Results illustrate how our approach can automatically reconstruct CAD models of industrials scenes.en_US
dc.description.sectionheadersPostersen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-36-1en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR12/063-066en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): J.6 [Computer Applications]: Computer-Aided Engineering-Computer-Aided Design (CAD) I.4.8 [Computing Methodologies]: Scene Analysis-Object Recognition, Surface fitting, Shape, Range dataen_US
dc.titleEffective Shapes Generation for Bayesian CAD Model Reconstructionen_US
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