• DocumentCode
    2754977
  • Title

    A new linear method for Euclidean motion/structure from three calibrated affine views

  • Author

    Quan, Long ; Ohta, Yuichi

  • Author_Institution
    GRAVIR-INRIA, CNRS, Montbonnot, France
  • fYear
    1998
  • fDate
    23-25 Jun 1998
  • Firstpage
    172
  • Lastpage
    177
  • Abstract
    We introduce a unified framework for developing matching constraints of multiple affine views and rederive 2-view (affine epipolar geometry) and 3-view (affine image transfer) constraints within this framework. We then describe a new linear method for Euclidean motion and structure from 3 calibrated affine images, based on insight into the particular structure of these multiple-view constraints. Compared with the existing linear method of Huang and Lee (1989), the new method uses different and more appropriate constraints. It has no failure mode of the Euclidean factorisation method of Tomasi and Kanade (1992). We demonstrate the method on real image sequences
  • Keywords
    image matching; image sequences; motion estimation; Euclidean motion; affine epipolar geometry; affine image transfer; affine views; image sequences; matching constraints; Cameras; Image generation; Image reconstruction; Image sequences; Information geometry; Read only memory; Reflection; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
  • Conference_Location
    Santa Barbara, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-8497-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1998.698605
  • Filename
    698605