• DocumentCode
    1779430
  • Title

    Real-time depth fusion using a low-cost depth sensor array

  • Author

    Schmeing, Michael ; Krauskopf, Elmar ; Xiaoyi Jiang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Munster, Munster, Germany
  • fYear
    2014
  • fDate
    2-4 July 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present a method for real-time depth enhancement based on multiple depth map fusion. We use a multi-sensor setup of low-cost depth sensors to obtain a combined depth map that can be arbitrary positioned between the input sensors. Our method fills holes in the depth map and reduces sensor noise. It uses GPU acceleration via OpenGL and is applicable as a preprocessing step for a wide variety of applications where real-time depth maps are necessary. We present subjective and objective results and investigate the influence of vibrating sensors to our method.
  • Keywords
    distributed sensors; image enhancement; image fusion; image sensors; GPU acceleration; OpenGL; low cost depth sensor array; multiple depth map fusion; multisensor setup; real time depth enhancement; real time depth fusion; real time depth maps; sensor noise reduction; Calibration; Cameras; Graphics processing units; Image color analysis; Real-time systems; Three-dimensional displays; Vibrations; GPU; Kinect; depth; depth enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2014
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/3DTV.2014.6874758
  • Filename
    6874758