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dc.contributor.authorWetzstein, Gordon
dc.contributor.authorHeidrich, Wolfgang
dc.contributor.authorRaskar, Ramesh
dc.date.accessioned2017-02-02T19:49:25Z
dc.date.available2017-02-02T19:49:25Z
dc.date.issued2013-08
dc.date.submitted2013-02
dc.identifier.issn0920-5691
dc.identifier.issn1573-1405
dc.identifier.urihttp://hdl.handle.net/1721.1/106832
dc.description.abstractWe 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.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canadaen_US
dc.description.sponsorshipAlfred P. Sloan Foundationen_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency. Young Faculty Awarden_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11263-013-0652-xen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleComputational Schlieren Photography with Light Field Probesen_US
dc.typeArticleen_US
dc.identifier.citationWetzstein, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorWetzstein, Gordon
dc.contributor.mitauthorRaskar, Ramesh
dc.relation.journalInternational Journal of Computer Visionen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-08-18T15:41:32Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media New York
dspace.orderedauthorsWetzstein, Gordon; Heidrich, Wolfgang; Raskar, Rameshen_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licenseOPEN_ACCESS_POLICYen_US


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