3D exploitation of large urban photo archives
Name
Cho-2010-3D exploitation.pdf
Size
7.51 MB
Format
Adobe PDF
Checksum (MD5)
0d55a2b4ea6d1e680ba7620489f849a4
Author(s)
Snavely, Noah
Anderson, Ross W.
Cho, Peter L.
Date Issued
April 2010
Journal
Proceedings of SPIE--the International Society for Optical Engineering; v. 7697
Publisher
SPIE
Citation
Peter Cho, Noah Snavely, and Ross Anderson (2010). 3D exploitation of large urban photo archives. Proc. SPIE 7697: 769714/1-8. ©2010 COPYRIGHT SPIE--The International Society for Optical Engineering.
Version
Final published version
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.
Subjects
computer vision
3D reconstruction
ladar georegistration
knowledge transfer
MIT Department
Lincoln Laboratory
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1117/12.849767
