• DocumentCode
    3313391
  • Title

    Vanishing point detection based on slope trend for omnidirectional vision-based robot localization

  • Author

    Jun-Yu Yang ; Feng-Li Lian

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    4-7 Aug. 2013
  • Firstpage
    1063
  • Lastpage
    1068
  • Abstract
    This paper proposes one novel method to detect vanishing points in indoor environment. The original environmental data are from a standard omnidirectional camera equipped on one mobile robot. The orientation information in the panoramic image captured by the omnidirectional camera is computed by any standard edge detection, and further analyzed by the proposed slope trend approach. Related experimental studies in different scenarios are performed to demonstrate the feasibility of the approach.
  • Keywords
    cameras; edge detection; mobile robots; path planning; robot vision; environmental data; indoor environment; mobile robot; omnidirectional vision-based robot localization; orientation information; panoramic image capturing; slope trend approach; standard edge detection; standard omnidirectional camera; vanishing point detection; Cameras; Filtering; Gaussian mixture model; Image edge detection; Market research; Robot vision systems; Omnidirectional camera; panorama; slope trend; vanishing points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4673-5557-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2013.6618062
  • Filename
    6618062