dc.contributor.author | Hagege, Rami Rahamim | |
dc.date.accessioned | 2016-10-21T22:09:38Z | |
dc.date.available | 2016-10-21T22:09:38Z | |
dc.date.issued | 2013-10 | |
dc.date.submitted | 2013-06 | |
dc.identifier.issn | 0932-8092 | |
dc.identifier.issn | 1432-1769 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/104930 | |
dc.description.abstract | The 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.publisher | Springer Berlin Heidelberg | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/s00138-013-0565-2 | en_US |
dc.rights | Article 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.source | Springer Berlin Heidelberg | en_US |
dc.title | Scene appearance model based on spatial prediction | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Hagege, Rami R. “Scene Appearance Model Based on Spatial Prediction.” Machine Vision and Applications 25.5 (2014): 1241–1256. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
dc.contributor.mitauthor | Hagege, Rami Rahamim | |
dc.relation.journal | Machine Vision and Applications | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2016-08-18T15:23:31Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Springer-Verlag Berlin Heidelberg | |
dspace.orderedauthors | Hagege, Rami R. | en_US |
dspace.embargo.terms | N | en |
mit.license | PUBLISHER_POLICY | en_US |