• DocumentCode
    3018506
  • Title

    Layered Depth Panoramas

  • Author

    Zheng, Ke Colin ; Kang, Sing Bing ; Cohen, Michael F. ; Szeliski, Richard

  • Author_Institution
    Univ. of Washington, Seattle
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Representations for interactive photorealistic visualization of scenes range from compact 2D panoramas to data-intensive 4D light fields. In this paper, we propose a technique for creating a layered representation from a sparse set of images taken with a hand-held camera. This representation, which we call a layered depth panorama (LDP), allows the user to experience 3D by off-axis panning. It combines the compelling experience of panoramas with limited 3D navigation. Our choice of representation is motivated by ease of capture and compactness. We formulate the problem of constructing the LDP as the recovery of color and geometry in a multi-perspective cylindrical disparity space. We leverage a graph cut approach to sequentially determine the disparity and color of each layer using multi-view stereo. Geometry visible through the cracks at depth discontinuities in a frontmost layer is determined and assigned to layers behind the frontmost layer. All layers are then used to render novel panoramic views with parallax. We demonstrate our approach on a variety of complex outdoor and indoor scenes.
  • Keywords
    image processing; realistic images; 3D navigation; compact 2D panoramas; data-intensive 4D light fields; graph cut approach; handheld camera; interactive photorealistic scene visualization; layered depth panoramas; multiview stereo; off-axis panning; Cameras; Computer vision; Costs; Geometry; Image reconstruction; Image storage; Layout; Rendering (computer graphics); Solid modeling; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383295
  • Filename
    4270320