• DocumentCode
    579850
  • Title

    Through-the-Lens Multi-camera Synchronisation and Frame-Drop Detection for 3D Reconstruction

  • Author

    Imre, Evren ; Guillemaut, Jean-Yves ; Hilton, Adrian

  • Author_Institution
    CVSSP, Univ. of Surrey, Guildford, UK
  • fYear
    2012
  • fDate
    13-15 Oct. 2012
  • Firstpage
    395
  • Lastpage
    402
  • Abstract
    Synchronisation is an essential requirement for multiview 3D reconstruction of dynamic scenes. However, the use of HD cameras and large set-ups put a considerable stress on hardware and cause frame drops, which is usually detected by manually verifying very large amounts of data. This paper improves [9], and extends it with frame-drop detection capability. In order to spot frame-drop events, the algorithm fits a broken line to the frame index correspondences for each camera pair, and then fuses the pair wise drop hypotheses into a consistent, absolute frame-drop estimate. The success and the practical utility of the the improved pipeline is demonstrated through a number of experiments, including 3D reconstruction and free-viewpoint video rendering tasks.
  • Keywords
    estimation theory; high definition video; image reconstruction; object detection; rendering (computer graphics); synchronisation; video cameras; video signal processing; HD cameras; camera pair; dynamic scenes; frame drops; frame index correspondences; frame-drop detection capability; frame-drop estimate; frame-drop events; free-viewpoint video rendering tasks; multiview 3D reconstruction; pair wise drop hypotheses; practical utility; through-the-lens multicamera synchronisation; Cameras; High definition video; Indexes; Pipelines; Synchronization; Three dimensional displays; Trajectory; camera network synchronisation; frame-drop detection; through-the-lens synchronisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4673-4470-8
  • Type

    conf

  • DOI
    10.1109/3DIMPVT.2012.31
  • Filename
    6375020