• DocumentCode
    2832504
  • Title

    Robust estimation of motion and structure using a discrete H∞ filter

  • Author

    Qian, G. ; Kale, A. ; Chellappa, R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    616
  • Abstract
    In this paper a robust structure from motion (SfM) algorithm using a discrete H∞ filter is presented. Existing SfM algorithms do not work well when large motion or measurements modeling uncertainties are present. By using a H∞ filter these modeling uncertainties can be successfully handled. This algorithm has been tested on synthetic image sequences and results show the superiority of the H∞ filtering approach
  • Keywords
    filtering theory; image sequences; motion estimation; H∞ filtering; SfM algorithms; discrete H∞ filter; modeling uncertainties; motion estimation; robust estimation; structure from motion algorithm; synthetic image sequences; Additive noise; Cameras; Covariance matrix; Equations; Filtering algorithms; Filters; Laboratories; Motion estimation; Noise measurement; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899529
  • Filename
    899529
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2832504