Name
Abstract | ||
|---|---|---|
We introduce adaptive volumetric shadow maps (AVSM), a real-time shadow algorithm that supports high-quality shadowing from dynamic volumetric media such as hair and smoke. The key contribution of AVSM is the introduction of a streaming simplification algorithm that generates an accurate volumetric light attenuation function using a small fixed memory footprint. This compression strategy leads to high performance because the visibility data can remain in on-chip memory during simplification and can be efficiently sampled during rendering. We demonstrate that AVSM compression closely approximates the ground-truth correct solution and performs competitively to existing real-time rendering techniques while providing higher quality volumetric shadows. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1111/j.1467-8659.2010.01724.x | Comput. Graph. Forum |
Keywords | Field | DocType |
real-time rendering technique,compression strategy,on-chip memory,adaptive volumetric shadow map,simplification algorithm,higher quality volumetric shadow,avsm compression,accurate volumetric light attenuation,real-time shadow algorithm,dynamic volumetric media,shadow mapping | Shadow,Computer vision,Visibility,Computer graphics (images),Computer science,Light attenuation,Shadow mapping,Artificial intelligence,Memory footprint,Rendering (computer graphics) | Journal |
Volume | Issue | ISSN |
29 | 4 | 0167-7055 |
Citations | PageRank | References |
22 | 0.77 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Salvi | 1 | 98 | 6.80 |
| Kiril Vidimče | 2 | 223 | 16.91 |
| Andrew Lauritzen | 3 | 140 | 6.20 |
| Aaron Lefohn | 4 | 282 | 22.38 |