• DocumentCode
    1742846
  • Title

    Direct affine reconstruction

  • Author

    Heyden, Anders ; Kahl, Fredrik

  • Author_Institution
    Centre for Math. Sci., Lund Univ., Sweden
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    885
  • Abstract
    This paper presents a novel method for structure and motion estimation from affine cameras, called direct affine reconstruction (DAR). The main contribution is a deeper theoretical understanding of multiple view geometry for affine cameras. This is accomplished by carefully selecting a specific coordinate system, based on relative affine coordinates. One consequence of the choice of coordinates is that it is possible to directly read out the camera matrices as well as the object coordinates from the image measurements. The proposed method is well suited for tracking purposes as well as robust estimation schemes, like RANSAC, since only four basis points are needed. Furthermore, since no costly calculations are involved, the method is very fast. Experiments are carried out on both simulated and real data, showing its relative performance against factorization
  • Keywords
    computational geometry; computer vision; image reconstruction; motion estimation; optical tracking; affine cameras; computer vision; direct affine reconstruction; motion estimation; multiple view geometry; tracking; Cameras; Computational modeling; Computer vision; Coordinate measuring machines; Geometry; Image reconstruction; Layout; Matrix decomposition; Motion measurement; Robustness;
  • 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.2000.905563
  • Filename
    905563