Publicación:
Automatic method for building indoor boundary models from dense point clouds collected by laser scanners

dc.contributor.authorValero Rodríguez, Enrique
dc.contributor.authorAdán, Antonio
dc.contributor.authorCerrada Somolinos, Carlos
dc.date.accessioned2024-05-20T11:39:44Z
dc.date.available2024-05-20T11:39:44Z
dc.date.issued2012-11-22
dc.description.abstractIn this paper we present a method that automatically yields Boundary Representation Models (B-rep) for indoors after processing dense point clouds collected by laser scanners from key locations through an existing facility. Our objective is particularly focused on providing single models which contain the shape, location and relationship of primitive structural elements of inhabited scenarios such as walls, ceilings and floors. We propose a discretization of the space in order to accurately segment the 3D data and generate complete B-rep models of indoors in which faces, edges and vertices are coherently connected. The approach has been tested in real scenarios with data coming from laser scanners yielding promising results. We have deeply evaluated the results by analyzing how reliably these elements can be detected and how accurately they are modeled.en
dc.description.versionversión publicada
dc.identifier.doihttp://doi.org/10.3390/s121216099
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12382
dc.language.isoen
dc.publisherMDPI
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentIngeniería de Software y Sistemas Informáticos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywords3D modeling
dc.subject.keywordsB-rep models
dc.subject.keywordslaser scannes
dc.subject.keywords3D data processing
dc.titleAutomatic method for building indoor boundary models from dense point clouds collected by laser scannerses
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublicationf9ebcf51-c844-4f6e-b2b0-6697f6c9b1f9
relation.isAuthorOfPublication.latestForDiscoveryf9ebcf51-c844-4f6e-b2b0-6697f6c9b1f9
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