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dc.contributor.authorXue, Tianfan
dc.contributor.authorMobahi, Hossein
dc.contributor.authorDurand, Frederic
dc.contributor.authorFreeman, William T.
dc.date.accessioned2018-02-14T19:28:56Z
dc.date.available2018-02-14T19:28:56Z
dc.date.issued2015-10
dc.date.submitted2015-06
dc.identifier.isbn978-1-4673-6964-0
dc.identifier.urihttp://hdl.handle.net/1721.1/113669
dc.description.abstractWhen viewed through a small aperture, a moving image provides incomplete information about the local motion. Only the component of motion along the local image gradient is constrained. In an essential part of optical flow algorithms, information must be aggregated from nearby image locations in order to estimate all components of motion. This limitation of local evidence for estimating optical flow is called “the aperture problem”. We pose and solve a generalization of the aperture problem for moving refractive elements. We consider a common setup in air flow imaging or telescope observation: a camera is viewing a static background, and an unknown refractive elements undergoing unknown motion between them. Then we are addressing this fundamental question: what does the local image motion tell us about the motion of refractive elements? We show that the information gleaned through a local aperture for this case is very different than that for optical flow. In optical flow, the movement of 1D structure already constrains the motion in a certain direction. However, we cannot infer any information about the refractive motion from the movement of 1D structure in the observed sequence, and can only recover one component of the motion from 2D structure. Results on both simulated and real sequences are shown to illustrate our theory.en_US
dc.description.sponsorshipShell Researchen_US
dc.description.sponsorshipUnited States. Office of Naval Research. Multidisciplinary University Research Initiative (Grant N00014-09-1-1051)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (CISE 1111415)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CVPR.2015.7298960en_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.titleThe aperture problem for refractive motionen_US
dc.typeArticleen_US
dc.identifier.citationXue, Tianfan et al. “The Aperture Problem for Refractive Motion.” 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7-12 June 2015, Boston, Massachusetts, IEEE, 2015.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorXue, Tianfan
dc.contributor.mitauthorMobahi, Hossein
dc.contributor.mitauthorDurand, Frederic
dc.contributor.mitauthorFreeman, William T.
dc.relation.journal2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)en_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.orderedauthorsXue, Tianfan; Mobahi, Hossein; Durand, Fredo; Freeman, William T.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5031-6618
dc.identifier.orcidhttps://orcid.org/0000-0001-8074-1092
dc.identifier.orcidhttps://orcid.org/0000-0001-9919-069X
dc.identifier.orcidhttps://orcid.org/0000-0002-2231-7995
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US


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