• DocumentCode
    1742751
  • Title

    Three-dimensional projective reconstruction from three views

  • Author

    Habed, Adlane ; Boufama, Boubakeur

  • Author_Institution
    Sch. of Comput. Sci., Windsor Univ., Ont., Canada
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    415
  • Abstract
    In the computation of the 3D structure, it has been demonstrated that by introducing a third camera provides improvement over the use of two views only. In this paper, we propose a new algebraic derivation for the projection matrix of the third camera. This derivation is obtained by using the relationships between the projection matrices, the epipolar geometry and the trilinear tensors. Compared to previous methods, our method has the advantage to work in the special case where the camera centers are collinear. In addition, it has the advantage of simplicity and it is very straightforward to implement since it is a linear method. In our experiments, we used the view synthesis to high-light the quality of the computed projective structure. Tests have been performed on both synthetic and real data
  • Keywords
    computational geometry; computer vision; image reconstruction; matrix algebra; stereo image processing; tensors; 3D projective reconstruction; 3D structure; algebraic derivation; epipolar geometry; projection matrix; trilinear tensors; Application software; Cameras; Computer science; Computer vision; Geometry; Image reconstruction; Layout; Performance evaluation; Tensile stress; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905365
  • Filename
    905365