• DocumentCode
    602447
  • Title

    Why would i want a gyroscope on my RGB-D sensor?

  • Author

    Ovren, H. ; Forssen, P. ; Tornqvist, D.

  • Author_Institution
    Dept. of Electr. Eng., Linkoping Univ., Linköping, Sweden
  • fYear
    2013
  • fDate
    15-17 Jan. 2013
  • Firstpage
    68
  • Lastpage
    75
  • Abstract
    Many RGB-D sensors, e.g. the Microsoft Kinect, use rolling shutter cameras. Such cameras produce geometrically distorted images when the sensor is moving. To mitigate these rolling shutter distortions we propose a method that uses an attached gyroscope to rectify the depth scans. We also present a simple scheme to calibrate the relative pose and time synchronization between the gyro and a rolling shutter RGB-D sensor. We examine the effectiveness of our rectification scheme by coupling it with the the Kinect Fusion algorithm. By comparing Kinect Fusion models obtained from raw sensor scans and from rectified scans, we demonstrate improvement for three classes of sensor motion: panning motions causes slant distortions, and tilt motions cause vertically elongated or compressed objects. For wobble we also observe a loss of detail, compared to the reconstruction using rectified depth scans. As our method relies on gyroscope readings, the amount of computations required is negligible compared to the cost of running Kinect Fusion.
  • Keywords
    calibration; cameras; distortion; gyroscopes; image colour analysis; image fusion; image motion analysis; image reconstruction; pose estimation; synchronisation; Kinect fusion algorithm; depth scan rectification; geometric image distortion; gyroscope; image reconstruction; object compression; panning motion; pose calibration; rolling shutter RGB-D sensor; rolling shutter camera; rolling shutter distortion mitigation; sensor motion; tilt motion; time synchronization; Angular velocity; Cameras; Gyroscopes; Optical imaging; Optical sensors; Synchronization; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot Vision (WORV), 2013 IEEE Workshop on
  • Conference_Location
    Clearwater Beach, FL
  • Print_ISBN
    978-1-4673-5646-6
  • Electronic_ISBN
    978-1-4673-5647-3
  • Type

    conf

  • DOI
    10.1109/WORV.2013.6521916
  • Filename
    6521916