• DocumentCode
    341218
  • Title

    3D object modeling using a binocular vision system

  • Author

    Wang, J.G. ; Li, Y.F.

  • Author_Institution
    Dept of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Kowloon, Hong Kong
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    684
  • Abstract
    A man-machine interaction based stereo vision system is developed for modeling an unknown environment. The data points needed for modeling an objects are obtained through the intersection of lines, or calculation from equations of curve, derived via fitting from human guided edge detection. The modeling accuracy is ensured by using image feature extraction. A multi-viewpoint modeling approach has been developed in order to deal with occlusion problems. The virtual environment can be rendered based on the modeling data of real scenes with known model of mobile robot. The system implementation and some 3D measurements on real scene have been performed, with some results given
  • Keywords
    edge detection; feature extraction; man-machine systems; robot vision; solid modelling; stereo image processing; virtual reality; 3D object model; binocular vision; edge detection; image feature extraction; man-machine interaction; mobile robot; multi-viewpoint model; occlusion; real scene; rendering; stereo vision; virtual environment; Curve fitting; Equations; Feature extraction; Humans; Image edge detection; Layout; Machine vision; Man machine systems; Stereo vision; Virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
  • Conference_Location
    Venice
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-5276-9
  • Type

    conf

  • DOI
    10.1109/IMTC.1999.776933
  • Filename
    776933