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Visual Servoing Based on Shifted Moments

Abstract : —In the last decade, image-moments have been exploited in several visual servoing schemes for their ability to represent object regions, objects defined by contours or a set of discrete points. Moments have also been useful to achieve control decoupling properties and to choose minimal number of features to control the whole degrees of freedom of a camera. However the choice of moment-based features to control the rotational motions around the x-axis and y-axis simultaneously with the translational motions along the same axis remains a key issue. In this paper, we introduce new visual features computed from low order 'shifted moments invariants'. Importantly, they allow (1) to define a unique combination of visual features to control the whole 6 DOF of a eye-in-hand camera independently from the object shape and (2) to significantly enlarge the convergence domain of the closed loop system.
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Omar Tahri, Aurélien Yeremou Tamtsia, Youcef Mezouar, Cédric Demonceaux. Visual Servoing Based on Shifted Moments. IEEE Transactions on Robotics, IEEE, 2015, 31, pp.798 - 804. ⟨10.1109/TRO.2015.2412771⟩. ⟨hal-01485458⟩



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