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International Journal of Computer Vision

Erschienen in:

01.02.2016

Image Based Geo-localization in the Alps

verfasst von: Olivier Saurer, Georges Baatz, Kevin Köser, L’ubor Ladický, Marc Pollefeys

Erschienen in: International Journal of Computer Vision | Ausgabe 3/2016

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Abstract

Given a picture taken somewhere in the world, automatic geo-localization of such an image is an extremely useful task especially for historical and forensic sciences, documentation purposes, organization of the world’s photographs and intelligence applications. While tremendous progress has been made over the last years in visual location recognition within a single city, localization in natural environments is much more difficult, since vegetation, illumination, seasonal changes make appearance-only approaches impractical. In this work, we target mountainous terrain and use digital elevation models to extract representations for fast visual database lookup. We propose an automated approach for very large scale visual localization that can efficiently exploit visual information (contours) and geometric constraints (consistent orientation) at the same time. We validate the system at the scale of Switzerland (40,000 \(\hbox {km}^2\)) using over 1000 landscape query images with ground truth GPS position.

Vorheriger Artikel Guest Editorial: Large Scale Visual Media Geo-Localization

Nächster Artikel Geo-localization using Volumetric Representations of Overhead Imagery

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Titel: Image Based Geo-localization in the Alps
verfasst von: Olivier Saurer
Georges Baatz
Kevin Köser
L’ubor Ladický
Marc Pollefeys
Publikationsdatum: 01.02.2016
Verlag: Springer US
Erschienen in: International Journal of Computer Vision / Ausgabe 3/2016
Print ISSN: 0920-5691
Elektronische ISSN: 1573-1405
DOI: https://doi.org/10.1007/s11263-015-0830-0

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