Accession Number:

AD1039708

Title:

User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models (Open Access)

Descriptive Note:

Conference Paper

Corporate Author:

Signetron Inc. Berkeley United States

Personal Author(s):

• Tzeng, Eric
• Zhai,Andrew
• Clements,Matthew
• Townshend,Raphael
• Zakhor,Avideh

Report Date:

2013-09-12

Pagination or Media Count:

8.0

Abstract:

We propose a system for user-aided visual localization of desert imagery without the use of any metadata such as GPS readings, camera focal length, or field-of-view. The system makes use only of publicly available digital elevation models DEMs to rapidly and accurately locate photographs in non-urban environments such as deserts. Our system generates synthetic skyline views from a DEM and extracts stable concavity-based features from these skylines to form a database. To localize queries, a user manually traces the skyline on an input photograph. The skyline is automatically refined based on this estimate, and the same concavity-based features are extracted. We then apply a variety of geometrically constrained matching techniques to efficiently and accurately match the query skyline to a database skyline, thereby localizing the query image. We evaluate our system using a test set of 44 ground-truthed images over a 10, 000 km squared region of interest in a desert and show that in many cases, queries can be localized with precision as fine as 100 m squared.

Descriptors:

• pattern recognition
• computer vision
• feature extraction
• compressed sensing
• high resolution
• sampling
• algorithms
• invariance
• errors
• databases
• cameras
• geology
• VECTOR ANALYSIS
• elevation

Subject Categories:

• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE