• DocumentCode
    2814999
  • Title

    Two-View Geometry estimation using the Rodrigues Rotation Formula

  • Author

    Sorgi, Lorenzo

  • Author_Institution
    Comput. Vision & Virtual Reality Lab., Italian Aerosp. Res. Centre, Capua, Italy
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    1009
  • Lastpage
    1012
  • Abstract
    The paper presents the applicability of the Rodrigues Rotation Formula (RRF) in the context of Two-Views Geometry estimation. The Epipolar Constraint is usually formulated as the belonging of an image point to its corresponding Epipolar Line, instead using the RRF we will arrange the same constraint in terms of equivalence between 3D unit-norm vectors. This alternative formulation generates a geometrically meaningful error measure, which according to the presented results, provides a significant improvement of the estimation accuracy with respect to the widely used Sampson error, still maintaining a comparable computational cost.
  • Keywords
    geometry; motion estimation; vectors; 3D unit-norm vectors; Rodrigues rotation formula; Sampson error; epipolar constraint; epipolar line; two-view geometry estimation; Cameras; Estimation; Geometry; Measurement uncertainty; Minimization; Three dimensional displays; Vectors; 2-Views Geometry; Calibrated 3D Reconstruction; Camera Egomotion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6115593
  • Filename
    6115593