GeoPose3K: Mountain Landscape Dataset for Camera Pose Estimation in Outdoor Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126422" target="_blank" >RIV/00216305:26230/17:PU126422 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0262885617300963?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0262885617300963?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.imavis.2017.05.009" target="_blank" >10.1016/j.imavis.2017.05.009</a>
Alternative languages
Result language
angličtina
Original language name
GeoPose3K: Mountain Landscape Dataset for Camera Pose Estimation in Outdoor Environments
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IMAGE AND VISION COMPUTING
ISSN
0262-8856
e-ISSN
1872-8138
Volume of the periodical
2017
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
41
Pages from-to
1-41
UT code for WoS article
000413060000001
EID of the result in the Scopus database
2-s2.0-85028660327