Generalized Image Acquisition and Analysis

An evaluation of optical flow algorithms for background oriented schlieren imaging

The background oriented schlieren method (BOS) allows for accurate flow measurements with a simple experimental configuration. To estimate per-pixel displacement vectors between two images, BOS systems traditionally borrow window-based algorithms from particle image velocimetry. In this paper, we evaluate the performance of more recent optical flow methods in BOS settings. We also analyze the impact of different background patterns, suggesting the use of a pattern with detail at many scales. Experiments with both synthetic and real datasets show that the performance of BOS systems can be significantly improved through a combination of optical flow algorithms and multiscale background.

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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