• DocumentCode
    1394812
  • Title

    2DPCA-based method for place classification using range scan

  • Author

    Park, Soojin ; Park, Sung-Kee

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    47
  • Issue
    25
  • fYear
    2011
  • Firstpage
    1364
  • Lastpage
    1366
  • Abstract
    A method for place classification from a range scan is proposed, where the range scan is characterised with a 2D histogram of pairwise angular distance. The proposed method uses two-dimensional principal component analysis (2DPCA), a feature extraction and data representation technique, to train a set of classifiers with 2D histograms of range scans.
  • Keywords
    feature extraction; image classification; learning (artificial intelligence); principal component analysis; 2D histogram; 2DPCA; 2DPCA-based method; data representation technique; feature extraction; pairwise angular distance; place classification; range scan; supervised learning; two-dimensional principal component analysis;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2011.2907
  • Filename
    6099121
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1394812