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ČADÍK, M. VAŠÍČEK, J. HRADIŠ, M. RADENOVIĆ, F. CHUM, O.
Originální název
Camera Elevation Estimation from a Single Mountain Landscape Photograph
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This work addresses the problem of camera elevation estimation from a single photograph in an outdoor environment. We introduce a new benchmark dataset of one-hundred thousand images with annotated camera elevation called Alps100K. We propose and experimentally evaluate two automatic data-driven approaches to camera elevation estimation: one based on convolutional neural networks, the other on local features. To compare the proposed methods to human performance, an experiment with 100 subjects is conducted. The experimental results show that both proposed approaches outperform humans and that the best result is achieved by their combination.
Klíčová slova
camera elevation, landscape mountain photographs dataset, cnn, neural networks, BOW
Autoři
ČADÍK, M.; VAŠÍČEK, J.; HRADIŠ, M.; RADENOVIĆ, F.; CHUM, O.
Vydáno
21. 7. 2015
Nakladatel
The British Machine Vision Association and Society for Pattern Recognition
Místo
Swansea
ISBN
978-1-901725-53-7
Kniha
British Machine Vision Conference 2015
Strany od
1
Strany do
12
Strany počet
URL
http://cphoto.fit.vutbr.cz/elevation/
BibTex
@inproceedings{BUT119883, author="Martin {Čadík} and Jan {Vašíček} and Michal {Hradiš} and Filip {Radenović} and Ondřej {Chum}", title="Camera Elevation Estimation from a Single Mountain Landscape Photograph", booktitle="British Machine Vision Conference 2015", year="2015", pages="1--12", publisher="The British Machine Vision Association and Society for Pattern Recognition", address="Swansea", doi="10.5244/C.29.30", isbn="978-1-901725-53-7", url="http://cphoto.fit.vutbr.cz/elevation/" }