Publication result 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

English Title

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

Type

WoS Article

Original Abstract

We introduce a new dataset called GeoPose3K which contains overthree thousand precise camera poses of mountain landscape images. Inaddition to camera location and orientation, we provide data for trainingand evaluation of computer vision methods and applications in context ofoutdoor scenes; synthetic depth maps, normal maps, illuminationsimulation and semantic labels. To illustrate properties of the dataset,we compare results achieved by state-of-the-art visual geo-localizationmethod on GeoPose3K with results achieved on an existing dataset forvisual geo-localization. To foster research of computer vision algorithmsfor outdoor environments, we propose several novel future use-cases ofour new GeoPose3K dataset. 

English abstract

We introduce a new dataset called GeoPose3K which contains overthree thousand precise camera poses of mountain landscape images. Inaddition to camera location and orientation, we provide data for trainingand evaluation of computer vision methods and applications in context ofoutdoor scenes; synthetic depth maps, normal maps, illuminationsimulation and semantic labels. To illustrate properties of the dataset,we compare results achieved by state-of-the-art visual geo-localizationmethod on GeoPose3K with results achieved on an existing dataset forvisual geo-localization. To foster research of computer vision algorithmsfor outdoor environments, we propose several novel future use-cases ofour new GeoPose3K dataset. 

Keywords

camera pose estimation, visual geo-localization,cameraorientation estimation,image-to-model registration, digital terrainmodels, semantic segmentation 

Key words in English

camera pose estimation, visual geo-localization,cameraorientation estimation,image-to-model registration, digital terrainmodels, semantic segmentation 

Authors

BREJCHA, J.; ČADÍK, M.

RIV year

2020

Released

09.06.2017

ISBN

0262-8856

Periodical

IMAGE AND VISION COMPUTING

Volume

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"
}

Documents

geoPose3K_submission