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
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;
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
DOI :
10.1109/ICRA.2015.7140044