Computational Schlieren Photography with Light Field Probes

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 betwee...

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Bibliographic Details
Main Authors: Wetzstein, Gordon (Contributor), Heidrich, Wolfgang (Author), Raskar, Ramesh (Contributor)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: Springer US, 2017-02-02T19:49:25Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Wetzstein, Gordon  |e author 
100 1 0 |a Massachusetts Institute of Technology. Media Laboratory  |e contributor 
100 1 0 |a Program in Media Arts and Sciences   |q  (Massachusetts Institute of Technology)   |e contributor 
100 1 0 |a Wetzstein, Gordon  |e contributor 
100 1 0 |a Raskar, Ramesh  |e contributor 
700 1 0 |a Heidrich, Wolfgang  |e author 
700 1 0 |a Raskar, Ramesh  |e author 
245 0 0 |a Computational Schlieren Photography with Light Field Probes 
260 |b Springer US,   |c 2017-02-02T19:49:25Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/106832 
520 |a 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. 
520 |a Natural Sciences and Engineering Research Council of Canada 
520 |a Alfred P. Sloan Foundation 
520 |a United States. Defense Advanced Research Projects Agency. Young Faculty Award 
546 |a en 
655 7 |a Article 
773 |t International Journal of Computer Vision