Layered point clouds: a simple and efficient multiresolution structure for distributing and rendering gigantic point-sampled models
| dc.contributor.author | Gobbetti, Enrico | |
| dc.contributor.author | Marton, Fabio | |
| dc.date.accessioned | 2014-04-10T10:01:34Z | |
| dc.date.available | 2014-04-10T10:01:34Z | |
| dc.date.issued | 2004-12 | |
| dc.description | Preprint submitted to Elsevier Science | |
| dc.description.abstract | We recently introduced an efficient multiresolution structure for distributing and rendering very large point sampled models on consumer graphics platforms [1]. The structure is based on a hierarchy of precomputed object-space point clouds, that are combined coarse-to-fine at rendering time to locally adapt sample densities according to the projected size in the image. The progressive block based refinement nature of the rendering traversal exploits on-board caching and object based rendering APIs, hides out-of-core data access latency through speculative prefetching, and lends itself well to incorporate backface, view frustum, and occlusion culling, as well as compression and view-dependent progressive transmission. The resulting system allows rendering of complex out-of-core models at high frame rates (over 60 M rendered points/second), supports network streaming, and is fundamentally simple to implement. We demonstrate the efficiency of the approach on a number of very large models, stored on local disks or accessed through a consumer level broadband network, including a massive 234 M samples isosurface generated by a compressible turbulence simulation and a 167 M samples model of Michelangelo's St. Matthew. Many of the details of our framework were presented in a previous study. We here provide a more thorough exposition, but also significant new material, including the presentation of a higher quality bottom-up construction method and additional qualitative and quantitative results. | IT |
| dc.description.pagenumber | 815-826 | IT |
| dc.description.status | Pubblicato | IT |
| dc.identifier.doi | 10.1016/j.cag.2004.08.010 | IT |
| dc.identifier.issn | 0097-8493 | |
| dc.identifier.uri | http://hdl.handle.net/11050/786 | |
| dc.language.iso | en | IT |
| dc.publisher | Elsevier | IT |
| dc.relation.ispartof | Computers & Graphics | IT |
| dc.relation.ispartofseries | 28;6 | |
| dc.subject | point-based graphics | IT |
| dc.subject | large datasets | IT |
| dc.subject | out-of-core algorithms | IT |
| dc.subject | level-of-detail | IT |
| dc.subject.een-cordis | EEN CORDIS::ELETTRONICA, INFORMATICA E TELECOMUNICAZIONI::Multimedia::Visualizzazione, realtà virtuale | IT |
| dc.subject.program | Program::Data Fusion::Visual Computing (VIC) | IT |
| dc.title | Layered point clouds: a simple and efficient multiresolution structure for distributing and rendering gigantic point-sampled models | IT |
| dc.type | Articolo | IT |