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dc.contributor.authorCastelló Boscá, Pascual
dc.contributor.authorChover Sellés, Miguel
dc.contributor.authorSbert Casasayas, Mateu
dc.contributor.authorFeixas, Miguel
dc.date.accessioned2015-09-15T14:43:20Z
dc.date.available2015-09-15T14:43:20Z
dc.date.issued2014-08
dc.identifier.issn0167-8396
dc.identifier.urihttp://hdl.handle.net/10234/132273
dc.description.abstractSalient features in 3D meshes such as small high-curvature details in the middle of largely flat regions are easily ignored by most mesh simplification methods. Nevertheless, these features can be perceived by human observers as perceptually important in CAD models. Recently, mesh saliency has been introduced to identify those visually interesting regions. In this paper, we apply view-based mesh saliency to a purely visual method for surface simplification from two approaches. In the first one, we propose a new simplification error metric that considers polygonal saliency. In the second approach, we use viewpoint saliency as a weighting factor of the quality of a viewpoint in the simplification algorithm. Our results show that saliency can improve the preservation of small but visually significant surfaces even in visual algorithms for surface simplification. However, this comes at a price, because logically some other low-saliency regions in the mesh are simplified further.ca_CA
dc.format.extent15 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfComputer Aided Geometric Design, 2014, vol. 31, núm. 6ca_CA
dc.rightsCopyright © 2014 Elsevier B.V. All rights reserved.ca_CA
dc.subjectSaliencyca_CA
dc.subjectPolygonal surface simplificationca_CA
dc.subjectInformation-theoretic measures for viewpoint selectionca_CA
dc.titleReducing complexity in polygonal meshes with view-based saliencyca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1016/j.cagd.2014.05.001
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.sciencedirect.com/science/article/pii/S0167839614000491ca_CA


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