• DocumentCode
    2007466
  • Title

    Vision Servoing Method Based on Texture Analyzing

  • Author

    Liu, Xiaomin ; Zhu, Feng

  • Author_Institution
    Chinese Acad. of Sci., Shenyang
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2012
  • Lastpage
    2016
  • Abstract
    By analyzing the relationship between the camera motion and the coarseness changing of the texture image, a vision servoing method based on texture coarseness analyzing is given in this paper. The theory based on geography feature calculation is not effective in the environment full of texture but short of geography features. Texture feature extraction corresponding to the camera translation, pitching and yawing is talked. The result of half-physical robot station keeping experiment shows that the changing of texture features can provide enough motion information for the servoing task of the robot.
  • Keywords
    feature extraction; image texture; mobile robots; motion estimation; robot vision; visual servoing; camera motion; geography feature calculation; half-physical robot station; image texture; vision servoing method; Cameras; Data mining; Feature extraction; Geography; Image analysis; Image motion analysis; Image texture analysis; Motion analysis; Robot vision systems; Robotics and automation; Characteristic extraction; Computer vision; Texture; Vision servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376713
  • Filename
    4376713