• DocumentCode
    3281823
  • Title

    A novel similarity-invariant line descriptor for geometric map registration

  • Author

    Yammine, G. ; Wige, Eugen ; Simmet, Franz ; Niederkorn, Dieter ; Kaup, Andre

  • Author_Institution
    Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    3017
  • Lastpage
    3021
  • Abstract
    In this paper we present a new line descriptor that can be used in the process of tracking 2D navigation maps that are low in texture details. The problem of tracking this kind of maps is very important in the development and testing phases of a navigation system. In order to track the motion of the map, which could be a translation, rotation, or scale (also known as similarity transform), line segments are used as features and are matched between two consecutive frames using the proposed descriptor in order to determine the motion between the frames. The descriptor is shown to be very robust against typical translation, rotation, and scale transformations, while requiring an acceptable processing time.
  • Keywords
    cartography; feature extraction; image matching; image registration; image texture; object tracking; 2D navigation maps tracking; feature matching; geometric map registration; line segments; rotation transformations; scale transformations; similarity transform; similarity-invariant line descriptor; texture details; translation transformations; line descriptor; motion tracking; navigation maps;
  • 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.2013.6738621
  • Filename
    6738621