Publication detail

GeoPose3K: Mountain Landscape Dataset for Camera Pose Estimation in Outdoor Environments

BREJCHA, J. ČADÍK, M.

Original Title

GeoPose3K: Mountain Landscape Dataset for Camera Pose Estimation in Outdoor Environments

Type

journal article in Web of Science

Language

English

Original Abstract

We introduce a new dataset called GeoPose3K which contains over three thousand precise camera poses of mountain landscape images. In addition to camera location and orientation, we provide data for training and evaluation of computer vision methods and applications in context of outdoor scenes; synthetic depth maps, normal maps, illumination simulation and semantic labels. 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. To foster research of computer vision algorithms for outdoor environments, we propose several novel future use-cases of our new GeoPose3K dataset. 

Keywords

camera pose estimation, visual geo-localization,camera orientation estimation,image-to-model registration, digital terrain models, semantic segmentation 

Authors

BREJCHA, J.; ČADÍK, M.

Released

9. 6. 2017

ISBN

0262-8856

Periodical

IMAGE AND VISION COMPUTING

Year of study

2017

Number

1

State

Kingdom of the Netherlands

Pages from

1

Pages to

41

Pages count

41

URL

https://www.sciencedirect.com/science/article/abs/pii/S0262885617300963?via%3Dihub

BibTex

@article{BUT144445,
  author="Jan {Brejcha} and Martin {Čadík}",
  title="GeoPose3K: Mountain Landscape Dataset for Camera Pose Estimation in Outdoor Environments",
  journal="IMAGE AND VISION COMPUTING",
  year="2017",
  volume="2017",
  number="1",
  pages="1--41",
  doi="10.1016/j.imavis.2017.05.009",
  issn="0262-8856",
  url="https://www.sciencedirect.com/science/article/abs/pii/S0262885617300963?via%3Dihub"
}