Global image registration using shape space tracking

Liangyin Yu; Jóse Molineros; Venkataraman Sundareswaran

doi:10.1117/12.779409

3 April 2008 Global image registration using shape space tracking

Liangyin Yu, Jóse Molineros, Venkataraman Sundareswaran

Proceedings Volume 6981, Defense Transformation and Net-Centric Systems 2008; 69810G (2008) https://doi.org/10.1117/12.779409
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.779409

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KEYWORDS

Image registration

Unmanned aerial vehicles

Image filtering

Image resolution

Anisotropic filtering

Digital filtering

Motion models

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