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Proceedings Paper

3D exploitation of large urban photo archives
Author(s): Peter Cho; Noah Snavely; Ross Anderson
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Paper Abstract

Recent work in computer vision has demonstrated the potential to automatically recover camera and scene geometry from large collections of uncooperatively-collected photos. At the same time, aerial ladar and Geographic Information System (GIS) data are becoming more readily accessible. In this paper, we present a system for fusing these data sources in order to transfer 3D and GIS information into outdoor urban imagery. Applying this system to 1000+ pictures shot of the lower Manhattan skyline and the Statue of Liberty, we present two proof-of-concept examples of geometry-based photo enhancement which are difficult to perform via conventional image processing: feature annotation and image-based querying. In these examples, high-level knowledge projects from 3D world-space into georegistered 2D image planes and/or propagates between different photos. Such automatic capabilities lay the groundwork for future real-time labeling of imagery shot in complex city environments by mobile smart phones.

Paper Details

Date Published: 27 April 2010
PDF: 8 pages
Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 769714 (27 April 2010); doi: 10.1117/12.849767
Show Author Affiliations
Peter Cho, MIT Lincoln Lab. (United States)
Noah Snavely, Cornell Univ. (United States)
Ross Anderson, Mit Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 7697:
Signal Processing, Sensor Fusion, and Target Recognition XIX
Ivan Kadar, Editor(s)

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