Name
Abstract | ||
|---|---|---|
We present a novel hardware-accelerated texture advection algorithm to visualize the motion of two-dimensional unsteady flows. Making use of several proposed extensions to the OpenGL-1.2 specification, we demonstrate animations of over 65,000 particles at 2 frames/sec on an SGI Octane with EMXI graphics. High image quality is achieved by careful attention to edge effects, noise frequency, and image enhancement. We provide a detailed description of the hardware implementation, including temporal and spatial coherence techniques, dye advection techniques, and feature extraction. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1145/375213.375235 | IEEE Visualization 2003 |
Keywords | Field | DocType |
hardware-accelerated texture advection,feature extraction,hardware,careful attention toedge effect,unsteady flow visualization,texture,unsteady,high image quality,hardware implementation,novel hardware-accelerated texture advectionalgorithm,advection,noise frequency,opengl,dyeadvection technique,detailed description,image enhancement,pathlines,streakline,vector field,sgi octane,computer animation,edge effect,image texture,flow visualisation,particles,computational fluid dynamics,graphics hardware,edge effects,hardware accelerator,image quality | Computer graphics (images),Computer science,Image quality,Artificial intelligence,Computer hardware,OpenGL,Graphics,Computer vision,Image texture,Texture advection,Feature extraction,Advection,Flow visualization | Conference |
ISSN | ISBN | Citations |
1070-2385 | 1-58113-309-X | 38 |
PageRank | References | Authors |
4.41 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Jobard | 1 | 396 | 29.58 |
| Gordon Erlebacher | 2 | 443 | 34.54 |
| M. Yousuff Hussaini | 3 | 186 | 18.73 |