• DocumentCode
    3212179
  • Title

    Deformation identification and estimation of one-dimensional objects by using vision sensors

  • Author

    Chen, Chichyang ; Zheng, Yuan F.

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    1991
  • fDate
    9-11 Apr 1991
  • Firstpage
    2306
  • Abstract
    The use of vision sensors to study object deformation is discussed. The vision sensor is used to identify the deformation characteristic and estimate the deformation of flexible beams. First, a nonlinear equation describing the deformation of the beam is given. Then, cubic spline functions are used to approximate the contour of the deformed beam after the beam is detected by the vision sensor. Using the cubic spline approximation and Maclaurin´s series expansion, a procedure for determining the deformation characteristic is formulated. To estimate the deformation of the beam, a numerical differential method for solving the nonlinear equation is used. The error of this numerical method can be controlled with the aid of the vision sensor. Experimental results are given to verify that the proposed methods are effective
  • Keywords
    deformation; image sensors; numerical methods; pattern recognition; picture processing; splines (mathematics); ID object deformation identification; Maclaurin´s series expansion; contour approximation; cubic spline approximation; deformation estimation; flexible beams; nonlinear equation; numerical differential method; vision sensors; Aerospace industry; Automatic control; Ear; Error correction; Manufacturing automation; Nonlinear equations; Robustness; Sensor phenomena and characterization; Spline; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-8186-2163-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1991.131538
  • Filename
    131538