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dc.contributor.authorZhao, Shuang
dc.contributor.authorVelten, Andreas
dc.contributor.authorRaskar, Ramesh
dc.contributor.authorBala, Kavita
dc.contributor.authorNaik, Nikhil Deepak
dc.date.accessioned2013-09-23T17:55:11Z
dc.date.available2013-09-23T17:55:11Z
dc.date.issued2011-12
dc.identifier.issn0730-0301
dc.identifier.urihttp://hdl.handle.net/1721.1/80876
dc.description.abstractThis paper introduces the concept of time-of-flight reflectance estimation, and demonstrates a new technique that allows a camera to rapidly acquire reflectance properties of objects from a single view-point, over relatively long distances and without encircling equipment. We measure material properties by indirectly illuminating an object by a laser source, and observing its reflected light indirectly using a time-of-flight camera. The configuration collectively acquires dense angular, but low spatial sampling, within a limited solid angle range - all from a single viewpoint. Our ultra-fast imaging approach captures space-time "streak images" that can separate out different bounces of light based on path length. Entanglements arise in the streak images mixing signals from multiple paths if they have the same total path length. We show how reflectances can be recovered by solving for a linear system of equations and assuming parametric material models; fitting to lower dimensional reflectance models enables us to disentangle measurements. We demonstrate proof-of-concept results of parametric reflectance models for homogeneous and discretized heterogeneous patches, both using simulation and experimental hardware. As compared to lengthy or highly calibrated BRDF acquisition techniques, we demonstrate a device that can rapidly, on the order of seconds, capture meaningful reflectance information. We expect hardware advances to improve the portability and speed of this device.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Award CCF-0644175)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Award CCF-0811680)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Award IIS-1011919)en_US
dc.description.sponsorshipIntel Corporation (PhD Fellowship)en_US
dc.description.sponsorshipAlfred P. Sloan Foundation (Research Fellowship)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2024156.2024205en_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.titleSingle view reflectance capture using multiplexed scattering and time-of-flight imagingen_US
dc.typeArticleen_US
dc.identifier.citationNikhil Naik, Shuang Zhao, Andreas Velten, Ramesh Raskar, and Kavita Bala. 2011. Single view reflectance capture using multiplexed scattering and time-of-flight imaging. ACM Trans. Graph. 30, 6, Article 171 (December 2011), 10 pages.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.mitauthorNaik, Nikhil Deepaken_US
dc.contributor.mitauthorVelten, Andreasen_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.orderedauthorsNaik, Nikhil; Zhao, Shuang; Velten, Andreas; Raskar, Ramesh; Bala, Kavitaen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-9894-8865
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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