Detail publikačního výsledku

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

Anglický název

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

Druh

Článek WoS

Originální abstrakt

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. 

Anglický abstrakt

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. 

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

BREJCHA, J.; ČADÍK, M.

Rok RIV

2020

Vydáno

09.06.2017

ISSN

0262-8856

Periodikum

IMAGE AND VISION COMPUTING

Svazek

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"
}

Dokumenty

geoPose3K_submission