• DocumentCode
    1651906
  • Title

    An Object Recognition Method Using RGB-D Sensor

  • Author

    Maeda, Daisuke ; Morimoto, Masayuki

  • Author_Institution
    Div. of Comput. Eng., Univ. of Hyogo, Himeji, Japan
  • fYear
    2013
  • Firstpage
    857
  • Lastpage
    861
  • Abstract
    To recognize objects within narrow categories, it is important to extract effective features from small number of training samples. In this paper, first we discuss several depth features to improve object recognition accuracy. After that, we also discuss feature dimension reduction when we have insufficient training samples.
  • Keywords
    feature extraction; image colour analysis; object recognition; RGB-D sensor; feature extraction; object recognition; Accuracy; Feature extraction; Image color analysis; Object recognition; Principal component analysis; Shape; Training; RGB-D sensor; minor subspace method; object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
  • Conference_Location
    Naha
  • Type

    conf

  • DOI
    10.1109/ACPR.2013.156
  • Filename
    6778452
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1651906