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In order to locate interesting areas of an image we describe a system for focus of attention; this is based on feedback strategies combining low-level features, and a high-level object model to recognise the object and to direct the search for missing information. We aim to improve on established single-pass hypothesis generation and veriication approaches(More)
This paper builds upon the work of Palmer and Imre exploring the relative motion of satellites on neighbouring Keplerian orbits. We make use of a general geometrical setting from Hamiltonian systems theory to obtain analytical solutions of the varia-tional Kepler equations in an Earth centred inertial coordinate frame in terms of the relevant conserved(More)
In this paper different conservative models of tethered satellites are related mathematically and it is established in what limit they may provide useful insight into the underlying dynamics. An infinite dimensional model is linked to a finite dimensional model, the slack-spring model, through a conjecture on the singular perturbation of tether thickness.(More)
We extend the idea of the single-pass feedback framework by employing complex feedback strategies for both more robust hypothesis generation and hypothesis veriication. These strategies are developed at every level of our object recognition application; from low-level parameter optimisation, through the low level processing chain, to higher level(More)
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