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Proceedings Article

3D exploitation of large urban photo archives

[+] Author Affiliations
Peter Cho

MIT Lincoln Lab. (USA)

Noah Snavely

Cornell Univ. (USA)

Ross Anderson

Mit Lincoln Lab. (USA)

Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 769714 (April 27, 2010); doi:10.1117/12.849767
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From Conference Volume 7697

  • Signal Processing, Sensor Fusion, and Target Recognition XIX
  • Ivan Kadar
  • Orlando, Florida, United States | April 05, 2010

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.

© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Peter Cho ; Noah Snavely and Ross Anderson
"3D exploitation of large urban photo archives", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 769714 (April 27, 2010); doi:10.1117/12.849767; http://dx.doi.org/10.1117/12.849767


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