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3 April 2008 Global image registration using shape space tracking
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In airborne UAV operations, it is desirable to havemultiple UAVs operate in a cooperationmode tomaximize the use of resources, as well as take unique advantages of increased views frommultiple positions separated in time and space. This capability requires image registration across potentially widely different views that are taken at different places or time. The resulting images also vary in their noise contents, resolutions, and projection deformation. In this paper, we characterize the performance enhancement between single view from a single UAV and multiple views by multiple UAVs using ROC curves. In addition, we propose a computational framework to facilitate an efficient and accurate registration across images with varied resolutions, noise levels, and projective deformation. We implement various stages in this framework and demonstrate the promising results using low to medium resolution images with synthetically-generated flying path and camera poses.
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Liangyin Yu, Jóse Molineros, and Venkataraman Sundareswaran "Global image registration using shape space tracking", Proc. SPIE 6981, Defense Transformation and Net-Centric Systems 2008, 69810G (3 April 2008);

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