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dc.contributor.authorRaskar, Ramesh
dc.contributor.authorVaquero, Daniel A.
dc.contributor.authorRaskar, Ramesh
dc.contributor.authorFeris, Rogerio S.
dc.contributor.authorTurk, Matthew
dc.date.accessioned2012-09-28T14:53:57Z
dc.date.available2012-09-28T14:53:57Z
dc.date.issued2009-06
dc.identifier.isbn1424439914
dc.identifier.isbn9781424439911
dc.identifier.isbn978-1-4244-3992-8
dc.identifier.otherINSPEC Accession Number: 10835813
dc.identifier.urihttp://hdl.handle.net/1721.1/73468
dc.description.abstractConsider a projector-camera setup where a sinusoidal pattern is projected onto the scene, and an image of the objects imprinted with the pattern is captured by the camera. In this configuration, the local frequency of the sinusoidal pattern as seen by the camera is a function of both the frequency of the projected sinusoid and the local geometry of objects in the scene. We observe that, by strategically placing the projector and the camera in canonical configuration and projecting sinusoidal patterns aligned with the epipolar lines, the frequency of the sinusoids seen in the image becomes invariant to the local object geometry. This property allows us to design systems composed of a camera and multiple projectors, which can be used to capture a single image of a scene illuminated by all projectors at the same time, and then demultiplex the frequencies generated by each individual projector separately. We show how imaging systems like those can be used to segment, from a single image, the shadows cast by each individual projector - an application that we call coded shadow photography. The method is useful to extend the applicability of techniques that rely on the analysis of shadows cast by multiple light sources placed at different positions, as the individual shadows captured at distinct instants of time now can be obtained from a single shot, enabling the processing of dynamic scenes.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (award number IIS-0535293)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CVPR.2009.5206614en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleA projector-camera setup for geometry-invariant frequency demultiplexingen_US
dc.typeArticleen_US
dc.identifier.citationVaquero, D.A. et al. “A Projector-camera Setup for Geometry-invariant Frequency Demultiplexing.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, IEEE, 20-25 June 2009. 2082–2089. Web. ©2009 IEEE.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.approverRaskar, Ramesh
dc.contributor.mitauthorRaskar, Ramesh
dc.relation.journalIEEE Conference on Computer Vision and Pattern Recognition, 2009. CVPR 2009en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsVaquero, D.A.; Raskary, R.; Feris, R.S.; Turk, M.en
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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