Speedy Sparse Bundle Adjustment for Video/Image Sequences

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,923.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-13-M-1695
Award Id:
n/a
Agency Tracking Number:
F131-151-2007
Solicitation Year:
2013
Solicitation Topic Code:
AF131-151
Solicitation Number:
2013.1
Small Business Information
5050 Section Avenue, Suite 110, Cincinnati, OH, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
964730451
Principal Investigator:
Adam Nolan
Chief Technology Officer
(513) 631-0579
adam.nolan@etegent.com
Business Contact:
Stuart Shelley
Principal
(513) 631-0579
stuart.shelley@etegent.com
Research Institute:
Stub




Abstract
ABSTRACT: Bundle adjustment is a commonly employed technique for backing out camera parameters and 3D image models from a set of images. The generic case of bundle adjustment (overlapping shots from arbitrary cameras at arbitrary locations and times) has been highly optimized, and is used to good effect in such fields as 3D reconstruction and photo tourism. However, most existing implementations stick to this generic case, forgoing potential optimizations specific to video data streams. Given a video stream, the spatiotemporal locality of frames and the relative consistency of several camera parameters can be exploited to greatly improve on the execution speed of the generic case. This effort seeks to explore several techniques to improve on the generic state of the art for video data feeds, including feature tracking rather than simple correspondence, better initial estimates of camera pose, and restructuring the algorithm into a multi-pass, guided version. Such approaches will enable better reconstruction of camera parameters for UAVs in GPS-denied airspace. BENEFIT: Support navigation in denied environments, Enable mapping of aircraft coating damage back to 3D CAD models from video data

* information listed above is at the time of submission.

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