Image-based querying of urban knowledge databases
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Cho-2009-Image-based querying of urban knowledge databases.pdf
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1.22 MB
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Checksum (MD5)
191ac4ae3c5ebb620d076776568af180
Author(s)
Bae, Soonmin
Cho, Peter L.
Durand, Fredo
Date Issued
May 2009
Journal
Proceedings of SPIE
Publisher
The International Society for Optical Engineering
Citation
Cho, Peter, Soonmin Bae, and Fredo Durand. “Image-based querying of urban knowledge databases.” Signal Processing, Sensor Fusion, and Target Recognition XVIII. Ed. Ivan Kadar. Orlando, FL, USA: SPIE, 2009. 733614-12. © 2009 SPIE--The International Society for Optical Engineering
Version
Final published version
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.
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
http://dx.doi.org/10.1117/12.818164
