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dc.contributor.authorKlippenstein, Jonathanen_US
dc.date.accessioned2011-04-20T22:39:35Z
dc.date.available2011-04-20T22:39:35Z
dc.date.issued2010-12-07en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/62277
dc.descriptionThese images were recorded at the Computing Science Centre of the University of Alberta. They comprise a loop around the third floor of the building. Images were captured with a Dragonfly IEEE1394 digital camera from Point Grey Research,from an iRobot Magellan Pro robot. An image was taken after an approximate 15 cm translation or 5 degree rotation, whichever came first. An upwards-pointing camera was used for observing the robot position by tracking a repeating pattern of ceiling tiles. As such, every image has an associated position and covariance matrix. Each of the 512 images has three associated files: imageNNNN.png - rectified image (radial distortion has been removed). imageNNNN.state - position image was taken from, along with covariance matrix. imageNNNN.sift - SIFT keys. More information can be found in the README file in the archive. For convenience, the SIFT keys are packaged in a separate file.en_US
dc.rightsCC0 1.0 Universalen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en_US
dc.subjectIndoor sensor dataen_US
dc.subject3D sensor dataen_US
dc.titleualberta-csc-flr3-visionen_US


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