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dc.contributor.authorHagege, Rami Rahamim
dc.date.accessioned2016-10-21T22:09:38Z
dc.date.available2016-10-21T22:09:38Z
dc.date.issued2013-10
dc.date.submitted2013-06
dc.identifier.issn0932-8092
dc.identifier.issn1432-1769
dc.identifier.urihttp://hdl.handle.net/1721.1/104930
dc.description.abstractThe appearance of a static scene as sensed by a camera changes considerably as a result of changes in the illumination that falls upon it. Scene appearance modeling is thus necessary for understanding which changes in the appearance of a scene are the result of illumination changes. For any camera, the appearance of the scene is a function of the illumination sources in the scene, the three-dimensional configuration of the objects in the scene and the reflectance properties of all the surfaces in the scene. A scene appearance model is described here as a function of the behavior of static illumination sources, within or beyond the scene, and arbitrary three-dimensional configurations of patches and their reflectance distributions. Based on the suggested model, a spatial prediction technique was developed to predict the appearance of the scene, given a few measurements within it. The scene appearance model and the prediction technique were developed analytically and tested empirically. Two potential applications are briefly explored.en_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s00138-013-0565-2en_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.sourceSpringer Berlin Heidelbergen_US
dc.titleScene appearance model based on spatial predictionen_US
dc.typeArticleen_US
dc.identifier.citationHagege, Rami R. “Scene Appearance Model Based on Spatial Prediction.” Machine Vision and Applications 25.5 (2014): 1241–1256.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorHagege, Rami Rahamim
dc.relation.journalMachine Vision and Applicationsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-08-18T15:23:31Z
dc.language.rfc3066en
dc.rights.holderSpringer-Verlag Berlin Heidelberg
dspace.orderedauthorsHagege, Rami R.en_US
dspace.embargo.termsNen
mit.licensePUBLISHER_POLICYen_US


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