• DocumentCode
    2449041
  • Title

    A new method for calibrating depth and color camera pair based on Kinect

  • Author

    Liu, Weihua ; Fan, Yangyu ; Zhong, Zhang ; Lei, Tao

  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    212
  • Lastpage
    217
  • Abstract
    In this paper, we present a method that can calibrates color camera and depth camera of Kinect simultaneously, and finally get the relative pose between them. The calibration process for color camera and depth camera is designed by taking advantage of two different method respectively. As we know, the depth information can be acquired readily from the depth image, however, under the consideration of the fuzzy boundary and the overlapping of object in depth image, we choose using one-dimensional object for calibrating depth camera and propose a nonlinear method to optimize its intrinsic parameter. As for color camera calibration, we design a cross shape object for calibration and validation. Both methods are strongly robust to noise and much easier to implement. The experiment result shows a better accuracy in comparison with the proprietary calibration procedure of the manufacturer.
  • Keywords
    calibration; cameras; fuzzy set theory; image colour analysis; interactive systems; optimisation; pose estimation; Kinect; color camera calibration; cross-shape object design; depth camera calibration; depth image; fuzzy boundary; intrinsic parameter optimization; nonlinear method; one-dimensional object; relative pose; Calibration; Cameras; Equations; Image color analysis; Mathematical model; Shape; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376614
  • Filename
    6376614