• DocumentCode
    2212958
  • Title

    Reconstructing the geometry of an object using 3D TOF Camera

  • Author

    Francis, Sobers L X ; Anavatti, Sreenatha G. ; Garratt, Matthew

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Univ. of New South Wales at ADFA, Canberra, ACT, Australia
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    13
  • Lastpage
    17
  • Abstract
    This paper describes the effective way for reconstructing the geometry of a 3D object with a time-of-flight (TOF) camera. These TOF cameras can provide the range information and the 3D coordinates of the object in real time. The range information is obtained by estimating the runtime of the light which is emitted, reflected by the object and received by the camera unit. We also describe a simple approach to calibrate the camera´s range data with respect to the object distance. These measured range data is also compared with the manufactures data. The proposed algorithm uses the range information and the camera specification data for the geometrical representation of the object. These range data are also utilised to separate the object from the background. The algorithm uses the depth data of all the pixels of the camera and stores in the form of matrix array to extract the object information. Using suitable mathematical approach, the technique converts the range values into 2D & 3D image representation of the object. Experimental results are presented to demonstrate the utility of this technique.
  • Keywords
    calibration; cameras; geometry; image representation; 3D TOF camera; 3D image representation; calibration; geometrical representation; geometry; information extraction; manufacture data; time-of-flight camera; Cameras; Geometry; Pixel; Sensors; Shape; Three dimensional displays; 3D object; PMD camera; TOF camera; geometry duplication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Merging Fields Of Computational Intelligence And Sensor Technology (CompSens), 2011 IEEE Workshop On
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-9910-6
  • Type

    conf

  • DOI
    10.1109/MFCIST.2011.5949516
  • Filename
    5949516