Name
Abstract | ||
|---|---|---|
We present a simple and efficient technique for out-of-core multi resolution construction and high quality visualization of large point datasets. The method introduces a novel hierarchical LOD data organization based on multi-way kd-trees that simplifies memory management and allows controlling the LOD tree's height. The technique is incorporated in a full end-to-end system, which is evaluated on complex models made of hundreds of millions of points. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/PacificGraphics.2010.20 | Pacific Conference on Computer Graphics and Applications |
Field | DocType | Volume |
Computer vision,Data visualization,Computer graphics (images),Computer science,Visualization,Level of detail,Tree (data structure),k-d tree,Memory management,Artificial intelligence,Rendering (computer graphics),Graphics processing unit | Conference | null |
Issue | Citations | PageRank |
null | 6 | 0.51 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Prashant Goswami | 1 | 145 | 8.68 |
| Yanci Zhang | 2 | 7 | 1.54 |
| Pajarola, Renato | 3 | 1786 | 114.59 |
| Enrico Gobbetti | 4 | 1222 | 94.01 |