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dc.contributor.authorKendall, Alex
dc.contributor.authorGrimes, Matthew
dc.contributor.authorCipolla, Roberto
dc.date.accessioned2015-10-05T14:01:22Z
dc.date.available2015-10-05T14:01:22Z
dc.date.issued2015-10-05
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/251294
dc.descriptionSt Mary's Church scene from Cambridge Landmarks, a large scale outdoor visual relocalisation dataset taken around Cambridge University. Contains original video, with extracted image frames labelled with their 6-DOF camera pose and a visual reconstruction of the scene. If you use this data, please cite our paper: Alex Kendall, Matthew Grimes and Roberto Cipolla "PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization." Proceedings of the International Conference on Computer Vision (ICCV), 2015.en
dc.descriptionThis record supports publication and is available at http://mi.eng.cam.ac.uk/projects/relocalisation/
dc.formatImages (.png), Video (.mp4), Text (.txt), Reconstructions (.nvm can be opened with Visual SFM, http://ccwu.me/vsfm/ )en
dc.publisherUniversity of Cambridgeen
dc.rightsAttribution-NonCommercial-ShareAlike 2.0 UK: England & Wales*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.0/uk/*
dc.subjectRelocalizationen
dc.subjectRelocalisationen
dc.subjectSLAMen
dc.subjectSimultaneous Localization and Mappingen
dc.subjectComputer Visionen
dc.subjectMachine Learningen
dc.titleResearch data supporting “PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization”: St Marys Churchen
dc.typeDataseten
dc.rioxxterms.projectid5959
pubs.declined2017-10-11T13:54:38.413+0100
datacite.iscitedby.urlhttp://mi.eng.cam.ac.uk/projects/relocalisation/
dcterms.formatpng, mp4, txt, nvm
dc.contributor.orcidKendall, Alex [0000-0003-1904-5885]


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Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales