• DocumentCode
    1910617
  • Title

    Inferring 3D dimensions of flat objects from a single 2D image

  • Author

    Sreekaladevi, Sreedevi ; Wai Lok Woo ; Dlay, Satnam ; Gore, Peter ; Johnson, Garth ; Swailes, David

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
  • fYear
    2013
  • fDate
    5-7 Sept. 2013
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    In this work, a method to infer 3D dimensions of flat objects from a single image is presented. The idea is based on the computation of position of a reference object lying in space. A sheet of A4 paper is used as the reference object and the camera is calibrated using the four corners of the paper. Once the position of reference paper is known, further measurements can be taken on the plane in which it lies. No distortion correction model has been implemented yet. This method has been tested on various three dimensional scenarios and it has been found that the accuracy of measurements inferred lie within a tolerance of +/-25 mm.
  • Keywords
    calibration; cameras; image processing; 3D dimensions; camera calibration; flat objects; reference object lying position computation; reference paper position; single 2D image; three dimensional scenarios; Accuracy; Calibration; Cameras; Equations; Mathematical model; Measurement uncertainty; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computer Communication and Processing (ICCP), 2013 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-1493-7
  • Type

    conf

  • DOI
    10.1109/ICCP.2013.6646094
  • Filename
    6646094