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dc.contributor.authorO'Toole, Matthew
dc.contributor.authorRaskar, Ramesh
dc.contributor.authorKutulakos, Kiriakos N.
dc.date.accessioned2013-09-25T18:37:53Z
dc.date.available2013-09-25T18:37:53Z
dc.date.issued2012-07
dc.identifier.issn07300301
dc.identifier.urihttp://hdl.handle.net/1721.1/81175
dc.description.abstractWe present primal-dual coding, a photography technique that enables direct fine-grain control over which light paths contribute to a photo. We achieve this by projecting a sequence of patterns onto the scene while the sensor is exposed to light. At the same time, a second sequence of patterns, derived from the first and applied in lockstep, modulates the light received at individual sensor pixels. We show that photography in this regime is equivalent to a matrix probing operation in which the elements of the scene's transport matrix are individually re-scaled and then mapped to the photo. This makes it possible to directly acquire photos in which specific light transport paths have been blocked, attenuated or enhanced. We show captured photos for several scenes with challenging light transport effects, including specular inter-reflections, caustics, diffuse inter-reflections and volumetric scattering. A key feature of primal-dual coding is that it operates almost exclusively in the optical domain: our results consist of directly-acquired, unprocessed RAW photos or differences between them.en_US
dc.description.sponsorshipAlfred P. Sloan Foundation (Research Fellowship)en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (DARPA Young Faculty Award)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Media Laboratory (Consortium Members)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2185520.2185535en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT Web Domainen_US
dc.titlePrimal-dual coding to probe light transporten_US
dc.typeArticleen_US
dc.identifier.citationO Toole, Matthew, Ramesh Raskar, and Kiriakos N. Kutulakos. “Primal-dual coding to probe light transport.” ACM Transactions on Graphics 31, no. 4 (July 1, 2012): 1-11.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.mitauthorRaskar, Rameshen_US
dc.relation.journalACM Transactions on Graphicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsO'Toole, Matthew; Raskar, Ramesh; Kutulakos, Kiriakos N.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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