• DocumentCode
    3570610
  • Title

    Fast and smooth 3D reconstruction using multiple RGB-Depth sensors

  • Author

    Alexiadis, Dimitrios ; Zarpalas, Dimitrios ; Daras, Petros

  • Author_Institution
    Inf. Technol. Inst., Centre for Res. & Technol. - Hellas, Thessaloniki, Greece
  • fYear
    2014
  • Firstpage
    173
  • Lastpage
    176
  • Abstract
    In this paper, the problem of real-time, full 3D reconstruction of foreground moving objects, an important task for Tele-Immersion applications, is addressed. More specifically, the proposed reconstruction method receives input from multiple consumer RGB-Depth cameras. A fast and efficient method to calibrate the sensors in initially described. More importantly, an efficient method to smoothly fuse the captured raw point sets is then presented, followed by a volumetric method to produce watertight and manifold meshes. Given the implementation details, the proposed method can operate at high frame rates. The experimental results, with respect to reconstruction quality and rates, verify the effectiveness of the proposed methodology.
  • Keywords
    calibration; image capture; image fusion; image reconstruction; image sensors; mesh generation; virtual reality; 3D reconstruction; RGB-depth cameras; captured raw point set fusion; foreground moving object; manifold mesh; multiple RGB-depth sensor; reconstruction quality; reconstruction rates; sensor calibration; tele-immersion applications; volumetric method; watertight mesh; Cameras; Image reconstruction; Real-time systems; Sensors; Smoothing methods; Surface reconstruction; Three-dimensional displays; 3D reconstruction; Microsoft Kinect; Tele-immersion; real-time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing Conference, 2014 IEEE
  • Type

    conf

  • DOI
    10.1109/VCIP.2014.7051532
  • Filename
    7051532