Hybrid Automatic Visual Servoing Scheme using Defocus Information for 6-DoF Micropositioning

Le Cui 1 Eric Marchand 1 Sinan Haliyo 2 Stéphane Régnier 2
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : — Direct photometric visual servoing uses only the pure image information as a visual feature, instead of using classic geometric features such as points or lines. It was demonstrated efficiently in 6 degrees of freedom (DoF) positioning. However, in micro-scale, using only image intensity as a visual feature performs unsatisfactorily in cases where the photometric variation is low, such as motions along vision sensor's focal axis under a high magnification. In order to improve the performance and accuracy in those cases, an approach using hybrid visual features is proposed in this paper. Image gradient is employed as a visual feature on z axis while image intensity is used on the other 5 DoFs to control the motion. A 6-DoF micro-positioning task is accomplished by this hybrid visual servoing scheme. The experimental results obtained on a parallel positioning micro-stage under a digital microscope show the robustness and efficiency of the proposed method.
Type de document :
Communication dans un congrès
IEEE Int. Conf. on Robotics and Automation, ICRA'15, May 2015, Seattle, United States. 2015
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Le Cui, Eric Marchand, Sinan Haliyo, Stéphane Régnier. Hybrid Automatic Visual Servoing Scheme using Defocus Information for 6-DoF Micropositioning. IEEE Int. Conf. on Robotics and Automation, ICRA'15, May 2015, Seattle, United States. 2015. 〈hal-01120734〉

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