Binocular vision planning with anthropomorphic features for grasping parts by robots

Planning of an active vision having anthropomorphic features, such as binocularity, foveas and gaze control, is proposed. The aim of the vision is to provide robots with the pose informaton of an adequate object to be grasped by the robots. For this, the paper describes a viewer-oriented fixation point frame and its calibration, active motion and gaze control of the vision, disparity filtering, zoom control, and estimation of the pose of a specific portion of a selected object. On the basis of the importance of the contour information and the scheme of stereo vision in recognizing objects by humans, the occluding contour pairs of objects are used as inputs in order to show the proposed visual planning.

[1]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[2]  Robert C. Bolles,et al.  3DPO: A Three- Dimensional Part Orientation System , 1986, IJCAI.

[3]  Jae-Moon Chung,et al.  Extracting parametric descriptions of circular GCs from a pair of contours for 3-D shapes recognition , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[4]  Anup Basu,et al.  Active camera calibration using pan, tilt and roll , 1997, IEEE Trans. Syst. Man Cybern. Part B.

[5]  Roger Y. Tsai,et al.  Techniques for Calibration of the Scale Factor and Image Center for High Accuracy 3-D Machine Vision Metrology , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Prasanna G. Mulgaonkar,et al.  Matching three-dimensional objects using a relational paradigm , 1984, Pattern Recognit..

[7]  Berthold K. P. Horn,et al.  The Mechanical Manipulation of Randomly Oriented Parts , 1984 .

[8]  Shu-Yuan Chen,et al.  A systematic approach to analytic determination of camera parameters by line features , 1990, Pattern Recognit..

[9]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[10]  George A. Bekey,et al.  A strategy for grasp synthesis with multifingered robot hands , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[11]  S. Fukushima,et al.  Estimating the three-dimensional shape from a silhouette by geometrical division of the plane , 1991, Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation.

[12]  K. Rao,et al.  Shape description and grasping for robot hand-eye coordination , 1989, IEEE Control Systems Magazine.

[13]  Farzin Mokhtarian,et al.  Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Dana H. Ballard,et al.  Animate Vision , 1991, Artif. Intell..

[15]  M. Hebert,et al.  The Representation, Recognition, and Locating of 3-D Objects , 1986 .