• DocumentCode
    2582666
  • Title

    Simple method for computing 3D motion and depth

  • Author

    Heeger, David J. ; Jepson, Allan

  • Author_Institution
    NASA-Ames Res. Center, Moffett Field, CA, USA
  • fYear
    1990
  • fDate
    4-7 Dec 1990
  • Firstpage
    96
  • Lastpage
    100
  • Abstract
    The nonlinear equation that relates the optical-flow field to 3-D motion and depth can be split by an exact algebraic manipulation to form three sets of equations. The first set relates the image velocities to the translational component of the 3-D motion alone. Thus, the depth and the rotational velocity need not be known or estimated prior to solving for the translational velocity. Once the translation has been recovered, the second set of equations can be used to solve for the rotational velocity. Finally, depth can be estimated with the third set of equations, given the recovered transaction and rotation. The algorithm applies to the general case of arbitrary motion with respect to an arbitrary scene. The authors show that the performance of the algorithm compares quite favorably with other proposed approaches
  • Keywords
    computer vision; computerised picture processing; symbol manipulation; algebraic manipulation; arbitrary motion; arbitrary scene; computing 3D motion; depth; image velocities; nonlinear equation; optical-flow field; performance; rotational velocity; translational component; Concurrent computing; Ear; Equations; Linear algebra; Matrices; Sampling methods; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1990. Proceedings, Third International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-8186-2057-9
  • Type

    conf

  • DOI
    10.1109/ICCV.1990.139502
  • Filename
    139502