• DocumentCode
    3281845
  • Title

    Scale invariant line matching on the sphere

  • Author

    Dieu Sang Ly ; Demonceaux, Cedric ; Seulin, Ralph ; Fougerolle, Yohan

  • Author_Institution
    Centre de Morphologie Math., Ecole des Mines de Paris, Paris, France
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    3022
  • Lastpage
    3025
  • Abstract
    This paper proposes a novel approach of line matching across images captured by different types of cameras, from perspective to omnidirectional ones. Based on the spherical mapping, this method utilizes spherical SIFT point features to boost line matching and searches line correspondences using an affine invariant measure of similarity. It permits to unify the commonest cameras and to process heterogeneous images with the least distortion of visual information.
  • Keywords
    cameras; image matching; cameras; heterogeneous images; scale invariant line matching; spherical SIFT point; spherical mapping; Line matching; hybrid cameras; sphere;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738622
  • Filename
    6738622
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3281845