Result Details

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

BREJCHA, J.; ČADÍK, M. GeoPose3K: Mountain Landscape Dataset for Camera Pose Estimation in Outdoor Environments. IMAGE AND VISION COMPUTING, 2017, vol. 2017, no. 1, p. 1-41. ISSN: 0262-8856.
Type
journal article
Language
English
Authors
Brejcha Jan, Ing., Ph.D., DCGM (FIT)
Čadík Martin, doc. Ing., Ph.D., DCGM (FIT)
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 

URL
Published
2017
Pages
1–41
Journal
IMAGE AND VISION COMPUTING, vol. 2017, no. 1, ISSN 0262-8856
DOI
10.1016/j.imavis.2017.05.009
UT WoS
000413060000001
EID Scopus
2-s2.0-85028660327
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"
}
Files
Projects
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
V3C - Visual Computing Competence Center, TAČR, Centra kompetence, TE01020415, start: 2012-05-01, end: 2019-12-31, completed
Visual localization in natural environments (LOCATE), 4SGA8694, start: 2014-03-01, end: 2016-07-19, completed
Zpracování, zobrazování a analýza multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-17-3984, start: 2017-03-01, end: 2020-02-29, completed
Research groups
Computational Photography Group - CPhoto@FIT (RG CPHOTO)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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