• DocumentCode
    2120973
  • Title

    New insights into the calibration of ToF-sensors

  • Author

    Lindner, Marvin ; Kolb, Andreas ; Ringbeck, Thorsten

  • Author_Institution
    Inst. for Vision & Graphics, Univ. of Siegen, Siegen
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Time-of-flight (ToF) sensors have become an alternative to conventional distance sensing techniques like laser scanners or image based stereo. ToF sensors provide full range distance information at high frame-rates and thus have a significant impact onto current research in areas like online object recognition, collision prevention or scene reconstruction. However, ToF cameras like the photonic mixer device (PMD) still exhibit a number of challenges regarding static and dynamic effects, e.g. systematic distance errors and motion artefacts, respectively. Sensor calibration techniques reducing static system errors have been proposed and show promising results. However, current calibration techniques in general need a large set of reference data in order to determine the corresponding parameters for the calibration model. This paper introduces a new calibration approach which combines different demodulation techniques for the ToF- camera ´s reference signal. Examples show, that the resulting combined demodulation technique yields improved distance values based on only two required reference data sets.
  • Keywords
    calibration; cameras; image sensors; ToF camera reference signal; demodulation technique; distance sensing technique; static system error; time-of-flight-sensor calibration; Calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-2339-2
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2008.4563172
  • Filename
    4563172