• DocumentCode
    1871215
  • Title

    3D structure from uncalibrated image sequence

  • Author

    Fu, Dan ; Qiu, Zhiqiang ; Yu, Qifeng

  • fYear
    2006
  • fDate
    19-21 Jan. 2006
  • Lastpage
    228
  • Abstract
    A new approach to recover 3D structure from the aerial uncalibrated image sequence is presented. Unlike previous methods, the method uses a factorization-based algorithm to recover 3D models´ initial values and bundle adjustment to get accurate results. The focal lengths can be supposed to be the only unknown intrinsic parameters. The factorization-based method performs a projective reconstruction by using a linear factorization algorithm and upgrades the projective solution to a Euclidean one by enforcing some metric constraints. Bundle adjustment refines a visual reconstruction to produce jointly optimal structure and viewing parameter estimates when we get the ideal initial values from the factorization-based methods. Experiments results on synthetic and real image sequences verified the new approach´s precise and efficiency
  • Keywords
    image reconstruction; image sequences; stereo image processing; 3D structure; aerial uncalibrated image sequence; bundle adjustment; focal lengths; linear factorization algorithm; projective reconstruction; visual reconstruction; Cameras; Cost function; Image converters; Image reconstruction; Image sequences; Iterative algorithms; Parameter estimation; Refining; Robot vision systems; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7803-9395-3
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2006.1627616
  • Filename
    1627616