Splatting multiresolution volume data using the feature graph

We propose to represent classified datasets as a feature graph storing different graphical models and attributes for each feature. This graph allows us to render each feature according to its own characteristics. In addition, we show that various features of the graph storing volume information at d...

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Detalles Bibliográficos
Autores: Campos, J., Puig, A., Tost Pardell, Daniela|||0000-0001-9619-605X
Tipo de recurso: informe técnico
Fecha de publicación:2008
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/86461
Acceso en línea:https://hdl.handle.net/2117/86461
Access Level:acceso abierto
Palabra clave:Volume rendering
Focus+Context
Àrees temàtiques de la UPC::Informàtica::Infografia
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repository_id_str
spelling Splatting multiresolution volume data using the feature graphCampos, J.Puig, A.Tost Pardell, Daniela|||0000-0001-9619-605XVolume renderingFocus+ContextÀrees temàtiques de la UPC::Informàtica::InfografiaWe propose to represent classified datasets as a feature graph storing different graphical models and attributes for each feature. This graph allows us to render each feature according to its own characteristics. In addition, we show that various features of the graph storing volume information at different resolution levels can be rendered together using a view-aligned splatting method. Moreover, we propose a 2D kernel function for splats that is easy to tune and generates smaller footprints that reduce the render time. Our algorithm provides images with less blur. It enhances the boundary of the features while avoiding the subdivision of homogeneous regions of the volume.20082008-01-0120162016-05-02reporthttp://purl.org/coar/resource_type/c_93fcVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/86461reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/864612026-05-27T15:37:01Z
dc.title.none.fl_str_mv Splatting multiresolution volume data using the feature graph
title Splatting multiresolution volume data using the feature graph
spellingShingle Splatting multiresolution volume data using the feature graph
Campos, J.
Volume rendering
Focus+Context
Àrees temàtiques de la UPC::Informàtica::Infografia
title_short Splatting multiresolution volume data using the feature graph
title_full Splatting multiresolution volume data using the feature graph
title_fullStr Splatting multiresolution volume data using the feature graph
title_full_unstemmed Splatting multiresolution volume data using the feature graph
title_sort Splatting multiresolution volume data using the feature graph
dc.creator.none.fl_str_mv Campos, J.
Puig, A.
Tost Pardell, Daniela|||0000-0001-9619-605X
author Campos, J.
author_facet Campos, J.
Puig, A.
Tost Pardell, Daniela|||0000-0001-9619-605X
author_role author
author2 Puig, A.
Tost Pardell, Daniela|||0000-0001-9619-605X
author2_role author
author
dc.subject.none.fl_str_mv Volume rendering
Focus+Context
Àrees temàtiques de la UPC::Informàtica::Infografia
topic Volume rendering
Focus+Context
Àrees temàtiques de la UPC::Informàtica::Infografia
description We propose to represent classified datasets as a feature graph storing different graphical models and attributes for each feature. This graph allows us to render each feature according to its own characteristics. In addition, we show that various features of the graph storing volume information at different resolution levels can be rendered together using a view-aligned splatting method. Moreover, we propose a 2D kernel function for splats that is easy to tune and generates smaller footprints that reduce the render time. Our algorithm provides images with less blur. It enhances the boundary of the features while avoiding the subdivision of homogeneous regions of the volume.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-01-01
2016
2016-05-02
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/86461
url https://hdl.handle.net/2117/86461
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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