• DocumentCode
    3146459
  • Title

    Joint denoising and interpolation of depth maps for MS Kinect sensors

  • Author

    Milani, Simone ; Calvagno, Giancarlo

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    797
  • Lastpage
    800
  • Abstract
    Infrared structured light sensors are widely employed for control applications, gaming, acquisition of dynamic and static 3D scenes. Recent developments have lead to the availability on the market of low-cost sensors which prove to be extremely sensitive to noise, light conditions, materials, the surface nature of the objects, and their distance from the camera. As a matter of fact, accurate denoising and interpolation strategies are needed. The paper presents a quality enhancement strategy for depth maps targeting low-cost IR structured light sensors. The approach has been tested using the MS Xbox Kinect device in both indoor and outdoor scenarios under different light conditions.
  • Keywords
    computer games; image denoising; image enhancement; infrared detectors; interpolation; IR structured light sensor; MS Kinect sensor; MS Xbox Kinect device; control application; depth map interpolation; dynamic 3D scene acquisition; gaming; indoor scenario; infrared structured light sensor; joint denoising; outdoor scenario; quality enhancement strategy; static 3D scene acquisition; Cameras; Image color analysis; Image segmentation; Interpolation; Noise; Noise reduction; Sensors; 3D scanning; MS Kinect; denoising; infrared sensor; interpolation; structured light camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288004
  • Filename
    6288004