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3D exploitation of 2D ground-level & aerial imagery

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2 Author(s)
Cho, P. ; MIT Lincoln Lab., Lexington, MA, USA ; Snavely, N.

Working with 2.3K+ digital images shot around MIT, we form a SIFT graph which imposes an initial topological ordering upon the quasi-random set of input urban photos. We next employ iterative bundle adjustment algorithms developed by Snavely et al to recover the MIT photos' geometrical structure. After georegistering the 2.3K+ images to an aerial ladar map, we plot recovered camera geolocations on a Google Map and conduct virtual tours through the 3D field of 2D urban photos. Similar computer vision techniques are applied to video footage collected over a rural scene by an aerial glider. 1.5K video frames are reconstructed and georegistered via the UAV's GPS track. We demonstrate how several difficult aerial video exploitation problems become tractable when a geometry-based analysis approach is adopted.

Published in:

Applied Imagery Pattern Recognition Workshop (AIPR), 2011 IEEE

Date of Conference:

11-13 Oct. 2011