Name
Abstract | ||
|---|---|---|
Although graphics hardware is well suited to accelerate texture-based volume rendering methods for volume visualization of uniform grids, hardware acceleration is less easily exploited for texture-based volume rendering more complex meshes.Meteorological simulation and measurement data are gridded according to the requirements of the simulation and/or the measurement system.Therefore, an intermediate resampling step is often necessary for texture-based volume rendering, eliminating any potential benefits offered by the original grid structure and often introducing resampling errors. This article presents a novel, texture-based volume rendering architecture applicable to many nonuniform meshes, which avoids the need for resampling or for the visibility sorting typically required for tetrahedral meshes. Advanced lighting methods in texture-based volume rendering improve the perception of 3D structure in the volume.Functional approximations of the mapping from world space to computational space, performed per-fragment on programmable graphics hardware, allows application of these advanced techniques to many important grids in meteorological research at interactive rates. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/MCG.2006.25 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
hardware acceleration,programmable graphics hardware,texture-based volume rendering architecture,graphics hardware,texture-based volume rendering,resampling error,texture-based volume,structured nonuniform grids,volume visualization,texture-based volume rendering method,intermediate resampling step,weather forecasting,3d visualization,grid computing,volume rendering,atmospheric science,data visualisation | Radar,Data visualization,Volume rendering,Grid computing,Graphics hardware,Computer graphics (images),Computer science,Visualization,Rendering (computer graphics),Grid | Journal |
Volume | Issue | ISSN |
26 | 1 | 0272-1716 |
Citations | PageRank | References |
8 | 0.54 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kirk Riley | 1 | 27 | 1.57 |
| Yuyan Song | 2 | 19 | 1.44 |
| Martin Kraus | 3 | 269 | 15.90 |
| David S. Ebert | 4 | 2056 | 232.34 |
| Jason J Levit | 5 | 8 | 0.54 |