• DocumentCode
    150426
  • Title

    Depth estimation from a single camera image using power fit

  • Author

    Akhlaq, Muhammad Umair ; Izhar, Umer ; Shahbaz, Umar

  • Author_Institution
    Coll. of Electr. & Mech. Eng., Dept. of Mechatron. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2014
  • fDate
    22-24 April 2014
  • Firstpage
    221
  • Lastpage
    227
  • Abstract
    The research is focused on depth evaluation using a single camera. 2D images can be used for finding the depth of a particular object in the image. Algorithm uses marker(s) to update its orientation and to compute the distance. Initially the shape of the marker is fixed and is pre-defined but as the research expands improvements will make the algorithm to work autonomously using everyday objects as markers. Secondly, the approach is not dependent upon expensive equipment and overall computation cost is also low. Ultimately the algorithm is capable of producing the output in just a few seconds with almost 91.84% accuracy.
  • Keywords
    cameras; curve fitting; image classification; 2D images; computation cost; depth estimation; expensive equipment; particular object; power fit; single camera image; Cameras; Computer vision; Curve fitting; Estimation; Image processing; Polynomials; Shape; Curve Fitting; Depth Estimation; Distance Measurement; Image Markers; Single Camera Image & Classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014 International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4799-5131-4
  • Type

    conf

  • DOI
    10.1109/iCREATE.2014.6828369
  • Filename
    6828369