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| Content Provider | ACM Digital Library |
|---|---|
| Author | Atcheson, Bradley Magnor, Marcus Ihrke, Ivo Tevs, Art Bradley, Derek Seidel, Hans-Peter Heidrich, Wolfgang |
| Abstract | Fluid simulation is one of the most active research areas in computer graphics. However, it remains difficult to obtain measurements of real fluid flows for validation of the simulated data. In this paper, we take a step in the direction of capturing flow data for such purposes. Specifically, we present the first time-resolved Schlieren tomography system for capturing full 3D, non-stationary gas flows on a dense volumetric grid. Schlieren tomography uses 2D ray deflection measurements to reconstruct a time-varying grid of 3D refractive index values, which directly correspond to physical properties of the flow. We derive a new solution for this reconstruction problem that lends itself to efficient algorithms that robustly work with relatively small numbers of cameras. Our physical system is easy to set up, and consists of an array of relatively low cost rolling-shutter camcorders that are synchronized with a new approach. We demonstrate our method with real measurements, and analyze precision with synthetic data for which ground truth information is available. |
| Starting Page | 1 |
| Ending Page | 9 |
| Page Count | 9 |
| File Format | PDF QT / MOV |
| ISBN | 9781450318310 |
| DOI | 10.1145/1457515.1409085 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-12-10 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Computational cameras and optics Image processing Object scanning/acquisition |
| Content Type | Video Text |
| Resource Type | Article |
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