Computational Schlieren Photography with Light Field Probes
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11263_2013_Article_652.pdf
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4.2 MB
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b8ae3b6f4db96f3f0cc897324354a7d5
Author(s)
Wetzstein, Gordon
Heidrich, Wolfgang
Raskar, Ramesh
Date Issued
August 2013
Journal
International Journal of Computer Vision
Publisher
Springer US
Citation
Wetzstein, Gordon, Wolfgang Heidrich, and Ramesh Raskar. “Computational Schlieren Photography with Light Field Probes.” International Journal of Computer Vision 110, no. 2 (August 20, 2013): 113–127.
Version
Author's final manuscript
Abstract
We introduce a new approach to capturing refraction in transparent media, which we call light field background oriented Schlieren photography. By optically coding the locations and directions of light rays emerging from a light field probe, we can capture changes of the refractive index field between the probe and a camera or an observer. Our prototype capture setup consists of inexpensive off-the-shelf hardware, including inkjet-printed transparencies, lenslet arrays, and a conventional camera. By carefully encoding the color and intensity variations of 4D light field probes, we show how to code both spatial and angular information of refractive phenomena. Such coding schemes are demonstrated to allow for a new, single image approach to reconstructing transparent surfaces, such as thin solids or surfaces of fluids. The captured visual information is used to reconstruct refractive surface normals and a sparse set of control points independently from a single photograph.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1007/s11263-013-0652-x
