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Proceedings Paper

Image-based querying of urban knowledge databases
Author(s): Peter Cho; Soonmin Bae; Fredo Durand
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Paper Abstract

We extend recent automated computer vision algorithms to reconstruct the global three-dimensional structures for photos and videos shot at fixed points in outdoor city environments. Mosaics of digital stills and embedded videos are georegistered by matching a few of their 2D features with 3D counterparts in aerial ladar imagery. Once image planes are aligned with world maps, abstract urban knowledge can propagate from the latter into the former. We project geotagged annotations from a 3D map into a 2D video stream and demonstrate their tracking buildings and streets in a clip with significant panning motion. We also present an interactive tool which enables users to select city features of interest in video frames and retrieve their geocoordinates and ranges. Implications of this work for future augmented reality systems based upon mobile smart phones are discussed.

Paper Details

Date Published: 11 May 2009
PDF: 12 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 733614 (11 May 2009); doi: 10.1117/12.818164
Show Author Affiliations
Peter Cho, MIT Lincoln Lab. (United States)
Soonmin Bae, MIT Computer Science & Artificial Intelligence Lab. (United States)
Fredo Durand, MIT Computer Science & Artificial Intelligence Lab. (United States)


Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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