Photometric moments: New promising candidates for visual servoing

In this paper, we propose a new type of visual features for visual servoing: photometric moments. These global features do not require any segmentation, matching or tracking steps. The analytical form of the interaction matrix is developed in closed form for these features. Results from experiments carried out with photometric moments have been presented. The results validate our modelling and the control scheme. They perform well for large camera displacements and are endowed with a large convergence domain. From the properties exhibited, photometric moments hold promise as better candidates for IBVS over currently existing geometric and pure luminance features.

[1]  François Chaumette,et al.  Point-based and region-based image moments for visual servoing of planar objects , 2005, IEEE Transactions on Robotics.

[2]  Seth Hutchinson,et al.  Visual Servo Control Part I: Basic Approaches , 2006 .

[3]  Junping Wang,et al.  Micropeg and Hole Alignment Using Image Moments Based Visual Servoing Method , 2008, IEEE Transactions on Industrial Electronics.

[4]  Éric Marchand,et al.  ViSP for visual servoing: a generic software platform with a wide class of robot control skills , 2005, IEEE Robotics & Automation Magazine.

[5]  François Chaumette,et al.  Visual servo control. I. Basic approaches , 2006, IEEE Robotics & Automation Magazine.

[6]  Selim Benhimane,et al.  Homography-based 2D Visual Tracking and Servoing , 2007, Int. J. Robotics Res..

[7]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[8]  Carme Torras,et al.  Vision-based robot positioning using neural networks , 1996, Image Vis. Comput..

[9]  Christophe Collewet,et al.  Photometric Visual Servoing , 2011, IEEE Transactions on Robotics.

[10]  Christophe Collewet,et al.  Visual servoing set free from image processing , 2008, 2008 IEEE International Conference on Robotics and Automation.

[11]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[12]  Günter Rudolph,et al.  Visual Servoing with Moments of SIFT Features , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[13]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[14]  Geraldo F. Silveira,et al.  Direct Visual Servoing: Vision-Based Estimation and Control Using Only Nonmetric Information , 2012, IEEE Transactions on Robotics.

[15]  Richard M. Murray,et al.  A bio-plausible design for visual pose stabilization , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Éric Marchand,et al.  Mutual Information-Based Visual Servoing , 2011, IEEE Transactions on Robotics.

[17]  François Chaumette,et al.  Image moments: a general and useful set of features for visual servoing , 2004, IEEE Transactions on Robotics.