Publication Date:
2019-02-01
Description:
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 ismuch more difficult, since vegetation, illumination, seasonal changes make appearance-only approaches impractical. In this work, we target mountainous terrain and use digital elevationmodels 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 km2) using over 1000 landscape query images with ground truth GPS position.
Type:
Article
,
PeerReviewed
Format:
text
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