• DocumentCode
    3253156
  • Title

    Detection of symmetric features in images

  • Author

    Horak, Karel

  • Author_Institution
    Dept. of Control & Instrum., Brno Univ. of Technol., Brno, Czech Republic
  • fYear
    2013
  • fDate
    2-4 July 2013
  • Firstpage
    895
  • Lastpage
    899
  • Abstract
    Features detection plays a significant role in many computer vision tasks. There exist a plenty of various methods for features detection in an image processing domain. Symmetric features form a substantial class of them which takes an advantage of robust approach and fast implementation. In this paper a basic concept of a mirror and rotational symmetry is introduced and several implementation aspects are discussed. Symmetry detection process is transparently compared to the selected standard approach and results are demonstrated on the rotational symmetry task.
  • Keywords
    computer vision; feature extraction; mirrors; computer vision; fast implementation; feature detection; image processing domain; mirror; robust approach; rotational symmetry; symmetric features; Computer vision; Equations; Feature extraction; Image edge detection; Mirrors; Robustness; Transforms; Feature point; Mirror Symmetry; Point of Interest; Rotational Symmetry; Symmetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-0402-0
  • Type

    conf

  • DOI
    10.1109/TSP.2013.6614069
  • Filename
    6614069