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Efficient method for the determination of image correspondence in airborne applications using inertial sensors |
JOSA A, Vol. 30, Issue 1, pp. 102-111 (2013)
http://dx.doi.org/10.1364/JOSAA.30.000102
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Abstract
This paper presents a computationally efficient method for the measurement of a dense image correspondence vector field using supplementary data from an inertial navigation sensor (INS). The application is suited to airborne imaging systems, such as an unmanned air vehicle, where size, weight, and power restrictions limit the amount of onboard processing available. The limited processing will typically exclude the use of traditional, but computationally expensive, optical flow and block matching algorithms, such as Lucas–Kanade, Horn–Schunck, or the adaptive rood pattern search. Alternatively, the measurements obtained from an INS, on board the platform, lead to a closed-form solution to the correspondence field. Airborne platforms are well suited to this application because they already possess INSs and global positioning systems as part of their existing avionics package. We derive the closed-form solution for the image correspondence vector field based on the INS data. We then show, through both simulations and real flight data, that the closed-form inertial sensor solution outperforms traditional optical flow and block matching methods.
© 2012 Optical Society of America
OCIS Codes
(100.2980) Image processing : Image enhancement
(150.4620) Machine vision : Optical flow
(110.4153) Imaging systems : Motion estimation and optical flow
(280.4991) Remote sensing and sensors : Passive remote sensing
ToC Category:
Imaging Systems
History
Original Manuscript: April 16, 2012
Revised Manuscript: October 17, 2012
Manuscript Accepted: November 23, 2012
Published: December 19, 2012
Citation
Matthew Woods and Aggelos Katsaggelos, "Efficient method for the determination of image correspondence in airborne applications using inertial sensors," J. Opt. Soc. Am. A 30, 102-111 (2013)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-30-1-102
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