• DocumentCode
    461915
  • Title

    High-Performance Multi-View Reconstruction

  • Author

    Zach, Christopher ; Sormann, Mario ; Karner, Konrad

  • Author_Institution
    VRVis Res. Center Graz, Graz
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    113
  • Lastpage
    120
  • Abstract
    We present a high performance reconstruction approach, which generates true 3D models from multiple views with known camera parameters. The complete pipeline from depth map generation over depth image integration to the final 3D model visualization is performed on programmable graphics processing units (GPUs). The proposed pipeline is suitable for long image sequences and uses a plane- sweep depth estimation procedure optionally employing robust image similarity functions to generate a set of depth images. The subsequent volumetric fusion step combines these depth maps into an impicit surface representation of the final model, which can be directly displayed using GPU- based ray casting methods. Depending on the number of input views and the desired resolution of the final model the computing times range from several seconds to a few minutes. The quality of the obtained models is illustrated with real-world datasets.
  • Keywords
    data visualisation; image reconstruction; image sequences; ray tracing; GPU; depth image integration; depth map generation; final 3D model visualization; image sequences; multiview reconstruction; plane-sweep depth estimation; programmable graphics processing units; ray casting; robust image similarity functions; true 3D models; volumetric fusion; Cameras; Casting; Fusion power generation; Graphics; Image generation; Image reconstruction; Image sequences; Pipelines; Robustness; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Data Processing, Visualization, and Transmission, Third International Symposium on
  • Conference_Location
    Chapel Hill, NC
  • Print_ISBN
    0-7695-2825-2
  • Type

    conf

  • DOI
    10.1109/3DPVT.2006.74
  • Filename
    4155717