• DocumentCode
    248989
  • Title

    MasterCam FVV: Robust registration of multiview sports video to a static high-resolution master camera for free viewpoint video

  • Author

    Angehrn, F. ; Wang, O. ; Aksoy, Y. ; Gross, M. ; Smolic, A.

  • Author_Institution
    ETH Zurich, Zurich, Switzerland
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    3474
  • Lastpage
    3478
  • Abstract
    Free viewpoint video enables interactive viewpoint selection in real world scenes, which is attractive for many applications such as sports visualization. Multi-camera registration is one of the difficult tasks in such systems. We introduce the concept of a static high resolution master camera for improved long-term multiview alignment. All broadcast cameras are aligned to a common reference. Our approach builds on frame-to-frame alignment, extended into a recursive long-term estimation process, which is shown to be accurate, robust and stable over long sequences.
  • Keywords
    cameras; data visualisation; image registration; image resolution; MasterCam FVV; frame-to-frame alignment; free viewpoint video; interactive viewpoint selection; long-term estimation process; multicamera registration; sports visualization; static high-resolution master camera; Calibration; Cameras; Estimation; Image edge detection; Production; Robustness; Three-dimensional displays; Free viewpoint video; alignment; camera registration; multiview video; sports visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025705
  • Filename
    7025705