• DocumentCode
    3381847
  • Title

    A quantitative comparison of 4 algorithms for recovering dense accurate depth

  • Author

    Tian, Baozhong ; Barron, John L.

  • Author_Institution
    Dept. of Comput. Sci., Western Ontario Univ., London, Ont., Canada
  • fYear
    2005
  • fDate
    9-11 May 2005
  • Firstpage
    498
  • Lastpage
    505
  • Abstract
    We report on four algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate intensity derivatives or optical flow over time to increase accuracy.
  • Keywords
    Kalman filters; cameras; image sequences; Kalman filter; camera motion; dense accurate depth; image sequence; intensity derivative; optical flow; Computer vision; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
  • Print_ISBN
    0-7695-2319-6
  • Type

    conf

  • DOI
    10.1109/CRV.2005.11
  • Filename
    1443171
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3381847