A View-Dependent Metric for Patch-Based LOD Generation & Selection - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Proceedings of the ACM on Computer Graphics and Interactive Techniques Année : 2018

A View-Dependent Metric for Patch-Based LOD Generation & Selection

Résumé

With 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.
Fichier principal
Vignette du fichier
paper.pdf (15.58 Mo) Télécharger le fichier
Vignette du fichier
metric.jpg (36.44 Ko) Télécharger le fichier
Vignette du fichier
metric.png (141.57 Ko) Télécharger le fichier
metricPaper.mp4 (83.94 Mo) Télécharger le fichier
supplemental.pdf (91.61 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Format Figure, Image
Format Figure, Image
Format Vidéo
Loading...

Dates et versions

hal-01779816 , version 1 (27-04-2018)

Identifiants

Citer

Thibaud Lambert, Pierre Bénard, Gael Guennebaud. A View-Dependent Metric for Patch-Based LOD Generation & Selection. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2018, 1 (1), ⟨10.1145/3203195⟩. ⟨hal-01779816⟩
846 Consultations
499 Téléchargements

Altmetric

Partager

More