• DocumentCode
    1742706
  • Title

    Dense range flow from depth and intensity data

  • Author

    Spies, Hagen ; Jähne, Bemd ; Barron, John L.

  • Author_Institution
    Interdisciplinary Center for Sci. Comput., Heidelberg Univ., Germany
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    131
  • Abstract
    The combined use of intensity and depth information greatly helps in the estimation of the local 3D movements (range flow) of moving surfaces. We demonstrate how the two can be combined in both: a local total least squares algorithm, and an iterative global variational technique. While the former assumes locally constant flow, the latter relies on a smoothly varying flow field. The improvement achieved through incorporating intensity is illustrated qualitatively and quantitatively on synthetic and real test data
  • Keywords
    image sequences; iterative methods; least squares approximations; motion estimation; stereo image processing; variational techniques; 3D range flow; depth data; intensity data; iterative method; least squares; motion estimation; optical flow; variational technique; Computer science; Equations; Image motion analysis; Least squares approximation; Least squares methods; Motion analysis; Motion estimation; Optical sensors; Scientific computing; 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.2000.905290
  • Filename
    905290