• DocumentCode
    2657813
  • Title

    Automatic verification of principal contacts using vision

  • Author

    Xiao, Jing ; Su, Mao-kang

  • Author_Institution
    Comput. Sci. Dept., Univ. of North Carolina, Charlotte, NC, USA
  • fYear
    1993
  • fDate
    25-27 Aug 1993
  • Firstpage
    314
  • Lastpage
    319
  • Abstract
    Automatic recognition of unknown contacts among objects provides high-level feedback for a reactive robot system. The recognition mechanism must be online and insensitive to sensing uncertainties. A method is introduced of online using vision to extract more accurate contact information by reducing a set of initial contact hypotheses which are obtained from position/orientation sensing and subject to sensing uncertainties. It is assumed that contacts are among polyhedral objects with known geometric models. Preliminary implementation of the algorithms is discussed with testing results shown
  • Keywords
    computational geometry; object recognition; real-time systems; robot vision; geometric models; image recognition; object contact recognition; polyhedral objects; position/orientation sensing; reactive robot system; robot vision; uncertainty sensing; Computer science; Data mining; Face detection; Feedback; Personal communication networks; Robot sensing systems; Robotic assembly; Robotics and automation; Solid modeling; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-1206-6
  • Type

    conf

  • DOI
    10.1109/ISIC.1993.397694
  • Filename
    397694