Mesh Segmentation and Texture Mapping for Dimensional Inspection inWeb3D

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dc.contributor.authorMejia D.
dc.contributor.authorSánchez J.R.
dc.contributor.authorSegura Á.
dc.contributor.authorRuiz-Salguero O.
dc.contributor.authorPosada J.
dc.contributor.authorCadavid C.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería Mecánicaspa
dc.contributor.researchgroupLaboratorio CAD/CAM/CAEspa
dc.date.accessioned2021-04-16T21:24:57Z
dc.date.available2021-04-16T21:24:57Z
dc.date.issued2017-01-01
dc.description.abstractTraditionally, the data generated by industrial metrology so.ware is stored as static reports that metrology experts produce for engineering and production departments. Nevertheless, industry demands new approaches that provide ubiquitous and real time access to overall geometry, manufacturing and other data. Web3D technologies can help to improve the traditional metrology methods and o.er new ways to convey this information in web-based continuous friendly manner. However, enriched point clouds may be massive, thus presenting transmission and display limitations. To partially overcome these limitations, this article presents an algorithm that computes efficient metrology textures, which are then transferred and displayed through Web3D standards. Texture coordinates are computed only once for the reference CAD mesh on the server using in-house thermal-based segmentation and Hessian-based parameterization algorithms. The metrology data is then encoded in a texture le, which becomes available instantly for interactive visual inspection through the Web3D platform. © 2017 ACM.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=6879
dc.identifier.doi10.1145/3055624.3075954
dc.identifier.isbn9781450349550
dc.identifier.otherWOS;000426968000003
dc.identifier.otherSCOPUS;2-s2.0-85021800458
dc.identifier.urihttp://hdl.handle.net/10784/29505
dc.language.isoengspa
dc.publisherAssociation for Computing Machinery, Inc
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85021800458&doi=10.1145%2f3055624.3075954&partnerID=40&md5=a29ef2a8f6b152968aafb37021939db6
dc.rightsAssociation for Computing Machinery, Inc
dc.sourceProceedings - Web3d 2017: 22nd International Conference On 3d Web Technology
dc.subject.keywordImage segmentationeng
dc.subject.keywordInspectioneng
dc.subject.keywordMappingeng
dc.subject.keywordMatrix algebraeng
dc.subject.keywordMeasurementseng
dc.subject.keywordMesh generationeng
dc.subject.keywordUnits of measurementeng
dc.subject.keywordDimensional inspectioneng
dc.subject.keywordIndustrial metrologyeng
dc.subject.keywordMesh segmentationeng
dc.subject.keywordTexture coordinateseng
dc.subject.keywordTexture mappingeng
dc.subject.keywordVisual inspectioneng
dc.subject.keywordWeb3Deng
dc.subject.keywordWeb3d technologieseng
dc.subject.keywordWeb serviceseng
dc.titleMesh Segmentation and Texture Mapping for Dimensional Inspection inWeb3Deng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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