3D exploitation of large urban photo archives

Peter Cho; Noah Snavely; Ross Anderson

doi:10.1117/12.849767

27 April 2010 3D exploitation of large urban photo archives

Peter Cho, Noah Snavely, Ross Anderson

Proceedings Volume 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX; 769714 (2010) https://doi.org/10.1117/12.849767
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download 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 (27 April 2010); https://doi.org/10.1117/12.849767

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