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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stegmaier, S. Ertl, T. |
| Copyright Year | 2004 |
| Description | Author affiliation: Inst. of Visualization & Interactive Syst., Stuttgart Univ., Germany (Stegmaier, S.; Ertl, T.) |
| Abstract | Feature detection in flow fields is a well-researched area, but practical application is often difficult due to the numerical complexity of the algorithms preventing interactive use and due to noise in experimental or high-resolution simulation data sets. We present an integrated system that provides interactive denoising, vortex detection, and visualisation of vector data on Cartesian grids. All three major phases are implemented in such a way that the system runs completely on a modern GPU once the vector field is downloaded into graphics memory. The application aspect of our paper is twofold. First, we show how recently presented, prototypical GPU-based algorithms for filtering, numerical computation, and volume rendering can be combined into one productive system by handling all idiosyncrasies of a chosen graphics card. Second, we demonstrate that the significant speedup achieved compared to an optimized software implementation now allows interactive exploration of characteristic structures in turbulent flow fields. |
| Starting Page | 195 |
| Ending Page | 202 |
| File Size | 651905 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780387880 |
| DOI | 10.1109/VISUAL.2004.3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-10-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data visualization Noise reduction Filtering Computer graphics Band pass filters Data mining Computer vision Computational modeling Numerical simulation Analytical models 3D Vector Field Visualization Features in Volume Data Sets Flow Visualization Hardware Acceleration |
| Content Type | Text |
| Resource Type | Article |
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