• DocumentCode
    2479919
  • Title

    Pyramidal Multi-level Features for the Robot Vision@ICPR 2010 Challenge

  • Author

    Paris, Sébastien ; Glotin, Hervé

  • Author_Institution
    LSIS DYNI, Univ Paul Cezanne, Marseille, France
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    2949
  • Lastpage
    2952
  • Abstract
    This paper combines and proposes two novel multilevel spatial pyramidal (sp) features: spELBP (Extended Local Binary Pattern), spELBOP (Extended Local Binary Orientation Pattern) and spHOEE (Histogram of Oriented Edge Energy). These features feed state-of-the-art SVM algorithms for the localization of a robot in indoor environments. Two tasks are associated with the RobotVision@ICPR 2010 Challenge, the first one uses only a frame of stereoscopic images, the second takes into account the dynamics of the robot for improving results. Our scores are ranked 3rd for Task1 and 1st for Task2.
  • Keywords
    robot vision; support vector machines; RobotVision@ICPR 2010 challenge; SVM algorithms; extended local binary orientation pattern; extended local binary pattern; histogram of oriented edge energy; multilevel spatial pyramidal features; pyramidal multilevel features; robot localization; Databases; Encoding; Erbium; Histograms; Kernel; Robots; Support vector machines; LBP; SVM; Vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.1143
  • Filename
    5595908