• DocumentCode
    3325104
  • Title

    The study of 3D-from-2D using elimination

  • Author

    Werman, Michael ; Shashua, Amnon

  • Author_Institution
    Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
  • fYear
    1995
  • fDate
    20-23 Jun 1995
  • Firstpage
    473
  • Lastpage
    479
  • Abstract
    The paper unifies most of the current literature on 3D geometric invariants from point correspondences across multiple 2D views by using the tool of elimination from algebraic geometry. The technique allows one to predict results by counting parameters and reduces many complicated results obtained in the past (reconstructuon from two and three views, epipolar geometry from seven points, trilinearity of three views, the use of a priori 3D information such as bilateral symmetry, shading and color constancy, and more) into a few lines of reasoning each. The tool of Grobner base computation is used in the elimination process. In the process we obtain several results on N view geometry, and obtain a general result on invariant functions of 4 views and its corresponding quadlinear tensor: 4 views admit minimal sets of 16 invariant functions (of quadlinear forms) with 81 distinct coefficients that can be solved linearly from 6 corresponding points across 4 views. This result has non trivial implications to the understanding of N view geometry. We show a new result on single view invariants based on 6 points and show that certain relationships are impossible. One of the appealing features of the elimination approach is that it is simple to apply and does not require any understanding of the underlying 3D from 2D geometry and algebra
  • Keywords
    computational geometry; linear algebra; set theory; tensors; 3D from 2D geometry; 3D geometric invariants; Grobner base computation; N view geometry; algebraic geometry; distinct coefficients; elimination process; epipolar geometry; invariant functions; minimal sets; multiple 2D views; point correspondences; quadlinear tensor; trilinearity; Algebra; Cameras; Computer science; Computer vision; Ear; Information geometry; Object recognition; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1995. Proceedings., Fifth International Conference on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-8186-7042-8
  • Type

    conf

  • DOI
    10.1109/ICCV.1995.466902
  • Filename
    466902