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Time-resolved 3d capture of non-stationary gas flows

Published: 01 December 2008 Publication History

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.

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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 27, Issue 5
December 2008
552 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/1409060
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 December 2008
Published in TOG Volume 27, Issue 5

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Author Tags

  1. computational cameras and optics
  2. image processing
  3. object scanning/acquisition

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  • (2024)Factorized Motion Fields for Fast Sparse Input Dynamic View SynthesisACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657498(1-12)Online publication date: 13-Jul-2024
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