Name
Abstract | ||
|---|---|---|
This paper describes a system for rendering large (billions of points) point clouds using a strict level-of-detail criterion for managing the data out of core. The system is comprised of an in-core data structure for managing the coarse hierarchy, an out-of-core structure for managing the actual data and a multithreaded rendering framework that handles the structure and is responsible for data caching, LOD-calculations, culling, and rendering. We demonstrate the performance of our approach with two real-world datasets (a 1.8 b points outdoor scene and a 360m points indoor scene). |
Year | DOI | Venue |
|---|---|---|
2015 | 10.5220/0005315202650273 | GRAPP |
Field | DocType | Citations |
Computer vision,Computer graphics (images),Computer science,Laser,Interactive visualization,Artificial intelligence | Conference | 1 |
PageRank | References | Authors |
0.39 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Kanzok | 1 | 2 | 1.45 |
| Lars Linsen | 2 | 280 | 45.80 |
| Paul Rosenthal | 3 | 70 | 10.03 |