Research data supporting “PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization”: Street
Authors
Publication Date
2015-10-05Publisher
University of Cambridge
Type
Dataset
Metadata
Show full item recordDescription
Street 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.
This record supports publication and is available at http://mi.eng.cam.ac.uk/projects/relocalisation/
Format
Images (.png), Video (.mp4), Text (.txt), Reconstructions (.nvm can be opened with Visual SFM, http://ccwu.me/vsfm/ )
Keywords
Relocalization, Relocalisation, SLAM, Simultaneous Localization and Mapping, Computer Vision, Machine Learning
Relationships
Publication Reference: http://mi.eng.cam.ac.uk/projects/relocalisation/
Identifiers
This record's URL: https://www.repository.cam.ac.uk/handle/1810/251292
Rights
Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales
Licence URL: http://creativecommons.org/licenses/by-nc-sa/2.0/uk/
The following licence files are associated with this item:
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales