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Scalable visualization of massive point clouds / Gerwin de Haan (2009) 

Public contenu dans Management of massive point cloud data / Peter J. M. Van Oosterom (2010)     Titre : Scalable visualization of massive point clouds Type de document : Article/Communication Auteurs : Gerwin de Haan, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2009 Conférence : NCG 2009, seminar Management of massive point cloud data: wet and dry 26/11/2009 Utrecht Pays-Bas Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 2D [Termes IGN] exploration de données [Termes IGN] réalité virtuelle [Termes IGN] semis de points Résumé : (auteur) Graphical renderings of "raw" point clouds can be visually attractive. When combined, the many individual points and their attributes convey spatial structures, especially when viewed in a fluent 3D fly-through and on a stereoscopic display. For such interactive visualization, a sufficiently responsive graphics update is essential. Where many software packages support simple rendering of smaller (subsets of) point clouds, the size of point clouds currently acquired easily surpasses their rendering capabilities, even on a modern graphics card. We addressed this issue in recent experiments on the visual exploration of LiDAR (Light Detection And Ranging) datasets in our Virtual Reality systems. Out-of-core terrain rendering techniques are applied, which originate from graphic rendering engines used in games and flight-simulators. In this document some of these techniques and results are highlighted, and challenges in balancing rendering performance versus visual quality are discussed. Numéro de notice : 14850 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75696

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en open access 14850 scalable visualization Adobe Acrobat PDF