• DocumentCode
    3139164
  • Title

    Structure and motion from uniform 3D acceleration

  • Author

    Franzen, Wolfgang Otto

  • Author_Institution
    Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1991
  • fDate
    7-9 Oct 1991
  • Firstpage
    14
  • Lastpage
    20
  • Abstract
    The author derives a multiframe feature-based closed form solution to the structure from motion problem when the camera and an object (or the environment) are undergoing uniform relative 3D acceleration. A central projection camera model is assumed, and no smoothness assumptions are imposed concerning object surfaces. It is assumed that a separate process has already performed motion correspondence and segmentation, and that sequences of features across at least three images are provided as input. The algorithm can process not only point features, but also line features as well. In addition, a given feature is not required to be visible in every frame. The (serial) computational complexity of the algorithm is proportional to the number of features being tracked times the number of frames. Test results are presented for synthetic and real data
  • Keywords
    computational complexity; image sequences; motion estimation; tracking; approaching car sequence; central projection camera model; computational complexity; line features; multiframe feature-based closed form solution; point features; structure from acceleration; structure from motion; tracking; uniform 3D acceleration; Acceleration; Cameras; Intelligent robots; Intelligent structures; Intelligent systems; Iterative algorithms; Least squares methods; Life estimation; Robot vision systems; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Motion, 1991., Proceedings of the IEEE Workshop on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    0-8186-2153-2
  • Type

    conf

  • DOI
    10.1109/WVM.1991.212793
  • Filename
    212793