• DocumentCode
    419492
  • Title

    Monocular Lie algebra approach for 3D motion estimation

  • Author

    Ortegon-Aguilar, Jaime ; Bayro-Corrochano, Eduardo

  • Author_Institution
    Dept. of Comput. Sci., CINVESTAV Unidad Guadalajara, Jalisco, Mexico
  • Volume
    2
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    200
  • Abstract
    This work presents a monocular method to estimate 3D motion of an object in the visual space. Our method is based on the theory of system identification, it identifies the optimal estimated value of the parameters that defines a 3D motion. The Lie algebra approach assures the estimation of the parameters of the shortest orbit (geodesic) of the involved group action. Experiments validate the effectiveness of the method.
  • Keywords
    Lie algebras; Lie groups; computer vision; motion estimation; parameter estimation; 3D motion estimation; monocular Lie algebra; parameter estimation; system identification theory; visual space; Algebra; Computer science; Jacobian matrices; Laboratories; Least squares approximation; Matrix decomposition; Motion estimation; Neural networks; Parameter estimation; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334095
  • Filename
    1334095