Generalized Image Acquisition and Analysis

Time-resolved 3D Capture of Non-stationary Gas Flows

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 to 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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Three-Dimensional Kaleidoscopic Imaging

Ivo Ihrke, Ilya Reshetouski, Alkhazur Manakov, Hans-Peter Seidel
Computational Optical Sensing and Imaging (COSI) 2012



Abstract

Planar mirror systems are capable of generating many virtual views, yet their practical use for multi-view imaging has been hindered by limiting configurations that enable view decomposition. In this work we lift those restrictions.
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Bibtex

@inproceedings{Ihrke:12,
author = {Ivo Ihrke and Ilya Reshetouski and Alkhazur Manakov and Hans-Peter Seidel},
booktitle = {Computational Optical Sensing and Imaging},
journal = {Computational Optical Sensing and Imaging},
pages = {CTu4B.8},
publisher = {Optical Society of America},
title = {Three-Dimensional Kaleidoscopic Imaging},
year = {2012},
}
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