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.

Teaching

winter term 2014/15

Lectures

winter term 2013/14

Advanced Display Technology
Ivo Ihrke, Pascal Picart

winter term 2012/13

Seminars

Parallel Visual Computing
Ivo Ihrke, Tobias Ritschel, Mario Fritz

summer term 2012

Lectures

Computational Photography
Ivo Ihrke
Universität des Saarlandes


winter term 2011/12

Seminars

summer term 2011

Lectures

Computational Photography
Ivo Ihrke
Universität des Saarlandes / JKU Linz
Hispos

winter term 2010/11

Seminars

Research Topics in Computational Photography (project-based seminar)
Ivo Ihrke

summer term 2010

Lectures

Computational Photography
Ivo Ihrke, Matthias Hullin
Universität des Saarlandes

winter term 2009/10

Seminars

Computational Photography and Videography
Ivo Ihrke, Christian Theobalt



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