Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968935 | Image and Vision Computing | 2017 | 43 Pages |
Abstract
We introduce a new dataset called GeoPose3K1 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Jan Brejcha, Martin ÄadÃk,