Paper Info
Title
Camera Elevation Estimation from a Single Mountain Landscape Photograph.
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.
Year
DOI
Venue
2015
10.5244/C.29.30
BMVC
DocType
Volume
ISSN
Conference
abs/1607.03305
In Xianghua Xie, Mark W. Jones, and Gary K. L. Tam, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 30.1-30.12. BMVA Press, September 2015
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Martin Cadík1304.78
Jan Vasícek200.34
Michal Hradis313214.19
Filip Radenovic42107.89
Ondrej Chum55677330.20