• DocumentCode
    1227205
  • Title

    Mathematical transforms and correlation techniques for object recognition using tactile data

  • Author

    Jurczyk, Joseph ; Loparo, Kenneth A.

  • Author_Institution
    Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    5
  • Issue
    3
  • fYear
    1989
  • fDate
    6/1/1989 12:00:00 AM
  • Firstpage
    359
  • Lastpage
    362
  • Abstract
    The authors discuss an object recognition system which uses tactile array data and mathematical transform techniques. The sensor consists of a grid of sensitive sites arrayed in a 10×16 orthogonal array. An object is placed onto the sensor and an instantaneous reading of the tactile image is transferred to an IBM-XT computer where the data are processed using two-dimensional mathematical transforms and correlation algorithms. Several test results are presented to illustrate the performance of the system
  • Keywords
    computer vision; correlation methods; tactile sensors; transforms; IBM-XT computer; computer vision; correlation methods; correlation techniques; object recognition; tactile data; tactile sensors; transform techniques; Discrete Fourier transforms; Discrete cosine transforms; Fast Fourier transforms; Image recognition; Libraries; Object recognition; Pattern recognition; Sensor arrays; System testing; Tactile sensors;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.34771
  • Filename
    34771