• DocumentCode
    595503
  • Title

    Robust depth regularization explicitly constrained by camera motion

  • Author

    Zarrouati, N. ; Aldea, Emanuel ; Rouchon, Pierre

  • Author_Institution
    Mines-ParisTech, Paris, France
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    3606
  • Lastpage
    3609
  • Abstract
    The objective of our work is to reconstruct the dense structure of a static scene observed by a monocular camera system following a known trajectory. Our main contribution is representated by the proposition of a TV-L1 energy functional that estimates directly the unknown depth field given the camera motion, thus avoiding to estimate as an intermediate step an optical flow field with additional geometric constraints. Our method has two main interests: we highlight a practical minimal parametrization for the given assumptions (static scene, known camera motion) and we solve the resulting variational problem using an efficient, discontinuity preserving formulation.
  • Keywords
    cameras; image motion analysis; image reconstruction; image sequences; natural scenes; variational techniques; TV-L1 energy functional; camera motion; dense static scene structure reconstruction; depth field; discontinuity preserving formulation; geometric constraints; minimal parametrization; monocular camera system; optical flow field; robust depth regularization; variational problem; Adaptation models; Adaptive optics; Cameras; Observers; Optical imaging; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460945