Detail publikace

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

BREJCHA, J. ČADÍK, M.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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. 

Klíčová slova

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

Autoři

BREJCHA, J.; ČADÍK, M.

Vydáno

9. 6. 2017

ISSN

0262-8856

Periodikum

IMAGE AND VISION COMPUTING

Ročník

2017

Číslo

1

Stát

Nizozemsko

Strany od

1

Strany do

41

Strany počet

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"
}