• DocumentCode
    3055583
  • Title

    Direct estimation of structure from nonlinear motion by voting algorithm without tracking and matching

  • Author

    Hamano, Teruo ; Yasuno, Takayuki ; Ishii, Kenichiro

  • Author_Institution
    Human Interface Labs., NTT Corp., Kanagawa, Japan
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    505
  • Lastpage
    508
  • Abstract
    Presents a robust approach to estimate structure from an image sequence taken by a moving camera. This approach is based on a Hough-type weighted voting algorithm and has the following features: (1) needs no feature tracking and no image-to-image matching; and (2) allows arbitrary nonlinear motion of camera. Experimental results using actual complex scenes are presented
  • Keywords
    computer vision; image processing; mobile robots; Hough-type weighted voting; complex scenes; image sequence; moving camera; nonlinear motion; voting algorithm; Cameras; Computer vision; Layout; Mobile robots; Motion estimation; Remotely operated vehicles; Robot vision systems; Spatiotemporal phenomena; Tracking; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2910-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201610
  • Filename
    201610