• DocumentCode
    2100326
  • Title

    A support system for maintenance training by augmented reality

  • Author

    Nakajima, Chikahito ; Itho, Norihiko

  • Author_Institution
    Central Res. Inst. of Electr. Power Ind., Tokyo, Japan
  • fYear
    2003
  • fDate
    17-19 Sept. 2003
  • Firstpage
    158
  • Lastpage
    163
  • Abstract
    We are developing a support system for maintenance training of electric power facilities by augmented reality. A user of the system wears a head-mounted display (HMD), with a small camera and with a sensor on top of the head, and stands in front of a blue screen. The system recognizes an object and estimates its position and pose from an image that is captured by the small camera. The object recognition and the position-pose estimation are performed by image processing without any special image marks or sensors. After the object recognition and the position-pose estimation, the system overlays computer graphics on the object images. The computer graphics show operational guidance, instructions, or dynamic inside movements of the object on the HMD. We describe an outline of the system and evaluation results of the system functions: the object recognition, the position-pose estimation and the operational guidance.
  • Keywords
    augmented reality; computer based training; helmet mounted displays; image processing; maintenance engineering; object recognition; parameter estimation; support vector machines; SVM classifier; augmented reality; computer graphics; electric power facilities; head-mounted display; image processing; instructions; maintenance training support system; object recognition; operational guidance; position-pose estimation; support vector machine classifier; Augmented reality; Cameras; Computer graphics; Displays; Head; Image processing; Image recognition; Image sensors; Object recognition; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
  • Print_ISBN
    0-7695-1948-2
  • Type

    conf

  • DOI
    10.1109/ICIAP.2003.1234043
  • Filename
    1234043