Publication detail

Camera Elevation Estimation from a Single Mountain Landscape Photograph

ČADÍK, M. VAŠÍČEK, J. HRADIŠ, M. RADENOVIĆ, F. CHUM, O.

Original Title

Camera Elevation Estimation from a Single Mountain Landscape Photograph

Type

conference paper

Language

English

Original Abstract

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.

Keywords

camera elevation, landscape mountain photographs dataset, cnn, neural networks, BOW

Authors

ČADÍK, M.; VAŠÍČEK, J.; HRADIŠ, M.; RADENOVIĆ, F.; CHUM, O.

Released

21. 7. 2015

Publisher

The British Machine Vision Association and Society for Pattern Recognition

Location

Swansea

ISBN

978-1-901725-53-7

Book

British Machine Vision Conference 2015

Pages from

1

Pages to

12

Pages count

12

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/"
}