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hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorLAMBERT, Thibaud
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorBÉNARD, Pierre
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorGUENNEBAUD, Gael
dc.date.accessioned2023-05-12T10:49:55Z
dc.date.available2023-05-12T10:49:55Z
dc.date.issued2018-05-15
dc.identifier.issn2577-6193
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181809
dc.description.abstractEnWith hardware tessellation, highly detailed geometric models are decomposed into patches whose tessellation factor can be specified dynamically and independently at render time to control polygon resolution. Yet, to achieve maximum efficiency, an appropriate factor needs to be selected for each patch according to its content (geometry and appearance) and the current viewpoint distance and orientation. We propose a novel patch-based error metric that addresses this problem. It summarizes both the geometrical error and the texture parametrization deviation of a simplified patch compared to the corresponding detailed surface. This metric is compact and can be efficiently evaluated on the GPU along any view direction. Furthermore, based on this metric, we devise an easy-to-implement refitting optimization that further reduces the simplification error of any decimation algorithm, and propose a new placement strategy and cost function for edge-collapses to reach the best quality/performances trade-off.
dc.language.isoen
dc.publisherACM
dc.subject.enLevel-of-details
dc.subject.enHardware tessellation
dc.subject.enMesh simplification
dc.title.enA View-Dependent Metric for Patch-Based LOD Generation & Selection
dc.typeArticle de revue
dc.identifier.doi10.1145/3203195
dc.subject.halInformatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
bordeaux.journalProceedings of the ACM on Computer Graphics and Interactive Techniques
bordeaux.volume1
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01779816
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01779816v1
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