GeoPose3K: Mountain landscape dataset for camera pose estimation in outdoor environments

Citation data:

Image and Vision Computing, ISSN: 0262-8856, Vol: 66, Page: 1-14

Publication Year:
2017
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DOI:
10.1016/j.imavis.2017.05.009
Author(s):
Jan Brejcha, Martin Čadík
Publisher(s):
Elsevier BV
Tags:
Engineering
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article description
We introduce a new dataset called GeoPose3K 1 1The dataset is publicly available at: http://cphoto.fit.vutbr.cz/geoPose3K. which contains over three thousand precise camera poses of mountain landscape images. In addition to camera location and orientation, we provide data for the training and evaluation of computer vision methods and applications in the context of outdoor scenes; synthetic depth maps, normal maps, illumination simulation and semantic labels. In order to illustrate properties of the dataset, we compare results achieved by state-of-the-art visual geo-localization method on GeoPose3K with results achieved on an existing dataset for visual geo-localization. So as to foster research of computer vision algorithms for outdoor environments, several novel future use-cases of our new GeoPose3K dataset are proposed.

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