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dc.contributor.authorKadambi, Achuta
dc.contributor.authorTaamazyan, Vage
dc.contributor.authorShi, Boxin
dc.contributor.authorRaskar, Ramesh
dc.date.accessioned2015-12-16T02:18:11Z
dc.date.available2015-12-16T02:18:11Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/1721.1/100278
dc.description.abstractCoarse depth maps can be enhanced by using the shape information from polarization cues. We propose a framework to combine surface normals from polarization (hereafter polarization normals) with an aligned depth map. Polarization normals have not been used for depth enhancement before. This is because polarization normals suffer from physics-based artifacts, such as azimuthal ambiguity, refractive distortion and fronto-parallel signal degradation. We propose a framework to overcome these key challenges, allowing the benefits of polarization to be used to enhance depth maps. Our results demonstrate improvement with respect to state-of-the-art 3D reconstruction techniques.en_US
dc.description.sponsorshipCharles Stark Draper Laboratory (Doctoral Fellowship)en_US
dc.description.sponsorshipSingapore. Ministry of Education (Academic Research Foundation MOE2013-T2-1-159)en_US
dc.description.sponsorshipSingapore. National Research Foundation (Singapore University of Technology and Design)en_US
dc.language.isoen_US
dc.publisherComputer Vision Foundationen_US
dc.relation.isversionofhttp://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kadambi_Polarized_3D_High-Quality_ICCV_2015_paper.pdfen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titlePolarized 3D: High-Quality Depth Sensing with Polarization Cuesen_US
dc.typeArticleen_US
dc.identifier.citationKadambi, Achuta, Vage Taamazyan, Boxin Shi, and Ramesh Raskar. "Polarized 3D: High-Quality Depth Sensing with Polarization Cues." 2015 International Conference on Computer Vision (2015).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.approverKadambi, Achutaen_US
dc.contributor.mitauthorKadambi, Achutaen_US
dc.contributor.mitauthorTaamazyan, Vageen_US
dc.contributor.mitauthorShi, Boxinen_US
dc.contributor.mitauthorRaskar, Rameshen_US
dc.relation.journalProceedings of the 2015 International Conference on Computer Visionen_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.orderedauthorsKadambi, Achuta; Taamazyan, Vage; Shi, Boxin; Raskar, Rameshen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2444-2503
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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