• DocumentCode
    1624590
  • Title

    Estimation of the orientation and distance of a mirror from Kinect depth data

  • Author

    Mallick, Tanwi ; Das, Partha Pratim ; Majumdar, A.K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In many common applications of Microsoft Kinect™ including navigation, surveillance, 3D reconstruction, and the like; it is required to estimate the geometry of mirrors or other reflecting surfaces existing in the field of view. This often is difficult as in most positions a mirror does not support diffuse reflection of speckles and hence cannot be seen in the Kinect depth map. A mirror shows up as unknown depth. However, suitably placed objects reflecting in the mirror can provide important clues for the orientation and distance of the mirror. In this paper we present a method using a ball and its mirror image to set-up point-to-point correspondence between object and image points to solve for the geometry of the mirror. With this simple estimators are designed for the orientation and distance of a plane vertical mirror with respect to the Kinect camera. In addition an estimator is presented for the diameter of the ball. The estimators are validated through a set of experiments.
  • Keywords
    computational geometry; mirrors; Kinect depth data; Microsoft Kinect; mirror distance estimation; mirror orientation estimation; mirrors geometry; point-to-point correspondence; speckles; Cameras; Estimation; Geometry; Mirrors; Noise; Spatial resolution; Three-dimensional displays; Depth Data; Distance Estimation; Kinect; Mirror; Orientation Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
  • Conference_Location
    Jodhpur
  • Print_ISBN
    978-1-4799-1586-6
  • Type

    conf

  • DOI
    10.1109/NCVPRIPG.2013.6776248
  • Filename
    6776248