• DocumentCode
    3594523
  • Title

    Panoramic video with predictive windows for telepresence applications

  • Author

    Baldwin, Jonathan ; Basu, Anup ; Zhang, Hong

  • Author_Institution
    Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
  • Volume
    3
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    1922
  • Abstract
    We describe the application of a predictive Kalman filter to the display of panoramic images. We discuss integrating a panoramic imaging system with prediction of viewing direction to create an effective telepresence system over low bandwidth links. Panoramic imaging using a reflective mirror surface offers an alternative to pan-tilt systems for obtaining a 360 degree field of view. Selecting a small window within a panoramic image allows a meaningful part of an image from a remote site to be seen at a higher refresh rate. Because of the delay in transmitting an image from a remote site, it is necessary to have additional image information available locally. This information can be used to simulate continuously flowing pictures with reduced apparent delay. Continuity in image viewing is achieved by predicting the next viewpoint of an operator and preemptively transmitting parts of an image. Experimental results are given to evaluate the proposed telepresence system
  • Keywords
    CCD image sensors; Kalman filters; covariance matrices; mobile robots; prediction theory; telerobotics; video signal processing; virtual reality; continuity; continuously flowing pictures; image viewing; low bandwidth links; panoramic imaging system; panoramic video; predictive Kalman filter; predictive windows; reflective mirror surface; remote site; telepresence; viewing direction; Bandwidth; Cameras; Computer displays; Control systems; Delay; Feedback; Humans; Mirrors; Mobile robots; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.770389
  • Filename
    770389