• DocumentCode
    632678
  • Title

    A Mobile Vision System for Fast and Accurate Ellipse Detection

  • Author

    Fornaciari, Michele ; Cucchiara, Rita ; Prati, Andrea

  • Author_Institution
    Univ. of Modena & Reggio Emilia, Modena, Italy
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    52
  • Lastpage
    53
  • Abstract
    Several papers addressed ellipse detection as a first step for several computer vision applications, but most of the proposed solutions are too slow to be applied in real time on large images or with limited hardware resources, as in the case of mobile devices. This demo is based on a novel algorithm for fast and accurate ellipse detection. The proposed algorithm relies on a careful selection of arcs which are candidate to form ellipses and on the use of Hough transform to estimate parameters in a decomposed space. The demo will show it working on a commercial smart-phone.
  • Keywords
    Hough transforms; computer vision; smart phones; Hough transform; accurate ellipse detection; computer vision applications; decomposed space; hardware resources; mobile devices; mobile vision system; smart phone; Computer vision; Conferences; Image edge detection; Pattern recognition; Real-time systems; Robustness; Shape; Hough transform; ellipse detection; mobile vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/CVPRW.2013.14
  • Filename
    6595852