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dc.contributor.authorSchindler, Grant
dc.contributor.authorDellaert, Frank
dc.contributor.authorKang, Sing Bing
dc.date.accessioned2011-03-30T21:50:45Z
dc.date.available2011-03-30T21:50:45Z
dc.date.issued2007-06
dc.identifier.citationSchindler, G., Dellaert, F., Kang, S.B., (2007). “Inferring Temporal Order of Images From 3D Structure". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007), 17-22 June 2007, 1-7.en_US
dc.identifier.issn1063-6919
dc.identifier.urihttp://hdl.handle.net/1853/38343
dc.description©2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en_US
dc.descriptionPresented at the 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 17-22 June 2007, Minneapolis, MN.
dc.descriptionDOI: 10.1109/CVPR.2007.383088
dc.description.abstractIn this paper, we describe a technique to temporally sort a collection of photos that span many years. By reasoning about persistence of visible structures, we show how this sorting task can be formulated as a constraint satisfaction problem (CSP). Casting this problem as a CSP allows us to efficiently find a suitable ordering of the images despite the large size of the solution space (factorial in the number of images) and the presence of occlusions. We present experimental results for photographs of a city acquired over a one hundred year period.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectConstraint satisfaction problem (CSP)en_US
dc.subjectImagesen_US
dc.subjectPhotographsen_US
dc.subjectStructure from motionen_US
dc.subject3D Structureen_US
dc.titleInferring Temporal Order of Images From 3D Structureen_US
dc.typePost-printen_US
dc.typeProceedings
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computing
dc.publisher.originalInstitute of Electrical and Electronics Engineers


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