• DocumentCode
    2331942
  • Title

    Geometric methods for relative reconstruction from weakly calibrated images

  • Author

    Ponce, Jean ; Marimont, David H. ; Cass, Todd A.

  • Author_Institution
    Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
  • fYear
    1994
  • fDate
    8-13 May 1994
  • Firstpage
    1169
  • Abstract
    We present several new geometric methods for relative stereo and motion reconstruction using a discrete set of point correspondences. We suppose that the epipoles are known but do not assume any knowledge of the cameras´ intrinsic or extrinsic parameters. In each case, we choose a set of five points as a basis for projective space and perform reconstruction relative to these five points. We also present a new technique for reprojection without reconstruction. We have implemented the proposed methods and present several examples using real images
  • Keywords
    computational geometry; image reconstruction; motion estimation; stereo image processing; calibrated stereo pairs; epipoles; geometric methods; point correspondences; relative motion reconstruction; relative stereo reconstruction; weakly calibrated images; Calibration; Cameras; Computer science; Geometrical optics; Geometry; Image reconstruction; Layout; Optical switches; Reconstruction algorithms; Stereo image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-5330-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1994.351203
  • Filename
    351203