A Unified information-theoretic framework for viewpoint selection and mesh saliency

Viewpoint selection is an emerging area in computer graphics with applications in fields such as scene exploration, image-based modeling, and volume visualization. In particular, best view selection algorithms are used to obtain the minimum number of views (or images) in order to understand or model...

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Detalles Bibliográficos
Autores: Feixas Feixas, Miquel, Sbert, Mateu, González García, Francisco
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2009
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/21518
Acceso en línea:http://hdl.handle.net/10256/21518
Access Level:acceso abierto
Palabra clave:Algorismes
Infografia
Visualització tridimensional
Algorithms
Computer graphics
Three-dimensional display systems
Imatgeria tridimensional
Three-dimensional imaging
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spelling A Unified information-theoretic framework for viewpoint selection and mesh saliencyFeixas Feixas, MiquelSbert, MateuGonzález García, FranciscoAlgorismesInfografiaVisualització tridimensionalAlgorithmsComputer graphicsThree-dimensional display systemsImatgeria tridimensionalThree-dimensional imagingViewpoint selection is an emerging area in computer graphics with applications in fields such as scene exploration, image-based modeling, and volume visualization. In particular, best view selection algorithms are used to obtain the minimum number of views (or images) in order to understand or model an object or scene better. In this article, we present a unified framework for viewpoint selection and mesh saliency based on the definition of an information channel between a set of viewpoints (input) and the set of polygons of an object (output). The mutual information of this channel is shown to be a powerful tool to deal with viewpoint selection, viewpoint stability, object exploration and viewpoint-based saliency. In addition, viewpoint mutual information is extended using saliency as an importance factor, showing how perceptual criteria can be incorporated to our method. Although we use a sphere of viewpoints around an object, our framework is also valid for any set of viewpoints in a closed scene. A number of experiments demonstrate the robustness of our approach and the good behavior of the proposed measuresAssociation for Computing Machinery (ACM)2009info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionpeer-reviewed23 p.application/pdfhttp://hdl.handle.net/10256/21518http://hdl.handle.net/10256/21518© ACM Transactions on Applied Perception, 2008, vol. 6, núm. 1, p. 1-23Articles publicats (D-IMAE)Feixas Feixas, Miquel Sbert, Mateu González García, Francisco 2008 A Unified information-theoretic framework for viewpoint selection and mesh saliency ACM Transactions on Applied Perception 6 1 1 23reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1145/1462055.1462056info:eu-repo/semantics/altIdentifier/issn/1544-3558info:eu-repo/semantics/altIdentifier/eissn/1544-3965Tots els drets reservatsinfo:eu-repo/semantics/openAccessoai:recercat.cat:10256/215182026-05-29T05:05:01Z
dc.title.none.fl_str_mv A Unified information-theoretic framework for viewpoint selection and mesh saliency
title A Unified information-theoretic framework for viewpoint selection and mesh saliency
spellingShingle A Unified information-theoretic framework for viewpoint selection and mesh saliency
Feixas Feixas, Miquel
Algorismes
Infografia
Visualització tridimensional
Algorithms
Computer graphics
Three-dimensional display systems
Imatgeria tridimensional
Three-dimensional imaging
title_short A Unified information-theoretic framework for viewpoint selection and mesh saliency
title_full A Unified information-theoretic framework for viewpoint selection and mesh saliency
title_fullStr A Unified information-theoretic framework for viewpoint selection and mesh saliency
title_full_unstemmed A Unified information-theoretic framework for viewpoint selection and mesh saliency
title_sort A Unified information-theoretic framework for viewpoint selection and mesh saliency
dc.creator.none.fl_str_mv Feixas Feixas, Miquel
Sbert, Mateu
González García, Francisco
author Feixas Feixas, Miquel
author_facet Feixas Feixas, Miquel
Sbert, Mateu
González García, Francisco
author_role author
author2 Sbert, Mateu
González García, Francisco
author2_role author
author
dc.subject.none.fl_str_mv Algorismes
Infografia
Visualització tridimensional
Algorithms
Computer graphics
Three-dimensional display systems
Imatgeria tridimensional
Three-dimensional imaging
topic Algorismes
Infografia
Visualització tridimensional
Algorithms
Computer graphics
Three-dimensional display systems
Imatgeria tridimensional
Three-dimensional imaging
description Viewpoint selection is an emerging area in computer graphics with applications in fields such as scene exploration, image-based modeling, and volume visualization. In particular, best view selection algorithms are used to obtain the minimum number of views (or images) in order to understand or model an object or scene better. In this article, we present a unified framework for viewpoint selection and mesh saliency based on the definition of an information channel between a set of viewpoints (input) and the set of polygons of an object (output). The mutual information of this channel is shown to be a powerful tool to deal with viewpoint selection, viewpoint stability, object exploration and viewpoint-based saliency. In addition, viewpoint mutual information is extended using saliency as an importance factor, showing how perceptual criteria can be incorporated to our method. Although we use a sphere of viewpoints around an object, our framework is also valid for any set of viewpoints in a closed scene. A number of experiments demonstrate the robustness of our approach and the good behavior of the proposed measures
publishDate 2009
dc.date.none.fl_str_mv 2009
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
peer-reviewed
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/21518
http://hdl.handle.net/10256/21518
url http://hdl.handle.net/10256/21518
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1145/1462055.1462056
info:eu-repo/semantics/altIdentifier/issn/1544-3558
info:eu-repo/semantics/altIdentifier/eissn/1544-3965
dc.rights.none.fl_str_mv Tots els drets reservats
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Tots els drets reservats
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 23 p.
application/pdf
dc.publisher.none.fl_str_mv Association for Computing Machinery (ACM)
publisher.none.fl_str_mv Association for Computing Machinery (ACM)
dc.source.none.fl_str_mv © ACM Transactions on Applied Perception, 2008, vol. 6, núm. 1, p. 1-23
Articles publicats (D-IMAE)
Feixas Feixas, Miquel Sbert, Mateu González García, Francisco 2008 A Unified information-theoretic framework for viewpoint selection and mesh saliency ACM Transactions on Applied Perception 6 1 1 23
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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