• DocumentCode
    2877476
  • Title

    Motion estimation using the differential epipolar equation

  • Author

    Baumela, L. ; Agapito, L. ; Bustos, P. ; Reid, I.

  • Author_Institution
    Dept. Inteligencia Artificial, Univ. Politecnica de Madrid, Spain
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    840
  • Abstract
    We consider the motion estimation problem in the case of very closely spaced views. We revisit the differential epipolar equation providing an interpretation of it. On the basis of this interpretation we introduce a cost function to estimate the parameters of the differential epipolar equation, which enables us to compute the camera extrinsics and some intrinsics. In the synthetic tests performed we compare this continuous method with traditional discrete motion estimation and, contrary to previous findings by Vieville et al. (1996), show that the continuous method did not perceive any computational advantage
  • Keywords
    computer vision; differential equations; motion estimation; parameter estimation; computer vision; cost function; differential epipolar equation; extrinsic parameters; intrinsic parameters; motion estimation; parameter estimation; Cameras; Cost function; Differential equations; Image generation; Image motion analysis; Laplace equations; Layout; Motion estimation; Parameter estimation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903675
  • Filename
    903675