• DocumentCode
    716872
  • Title

    Hybrid automatic visual servoing scheme using defocus information for 6-DoF micropositioning

  • Author

    Le Cui ; Marchand, Eric ; Haliyo, Sinan ; Regnier, Stephane

  • Author_Institution
    IRISA, Univ. de Rennes 1, Rennes, France
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    6025
  • Lastpage
    6030
  • 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.
  • Keywords
    gradient methods; micropositioning; microscopes; visual servoing; 6-DoF micropositioning; defocus information; digital microscope; direct photometric visual servoing; hybrid automatic visual servoing scheme; image gradient; image intensity; Cameras; Feature extraction; Jacobian matrices; Microscopy; Robustness; Visual servoing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7140044
  • Filename
    7140044