• DocumentCode
    2550582
  • Title

    Real-time humanoid visual system based on region segmentation

  • Author

    Liu, Gun-Hwa ; Wen, Sheng-Fan ; Chen, Po-Chun ; Shih, Wen-Pin

  • Author_Institution
    Dept. of Mech. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    347
  • Lastpage
    352
  • Abstract
    This paper presents a visual system for a humanoid robot. The eye mechanism possesses five degrees of freedom; its dimensions and motion behavior imitate real human eye. The software combines the techniques of image segmentation, region extraction, region correspondence, and projective geometry of camera to achieve the function of distance determination. Unlike general fixed stereo system, the errors from eyeball rotation are also considered. An angle control algorithm is implemented in the system to reduce the errors. This system could be applied in obstacles detection and objects capture.
  • Keywords
    humanoid robots; image segmentation; robot vision; angle control; distance determination; eyeball rotation; humanoid robot; image segmentation; objects capture; obstacles detection; projective geometry; real-time humanoid visual system; region correspondence; region extraction; region segmentation; Cameras; Image color analysis; Image segmentation; Pixel; Software; Visual system; Zirconium; humanoid robot; image sensors; integration; visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970532
  • Filename
    5970532