• DocumentCode
    3695384
  • Title

    An extraction and recognition method for partially hidden objects

  • Author

    Takaaki Oka;Masakazu Morimoto

  • Author_Institution
    Graduate School of Engineering, University of Hyogo, Himeji, JAPAN
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To realize object recognition in practical applications, it is necessary to handle layered objects. In this paper we introduce RGB-D sensor for object recognition system to treat overlapped objects. In the proposed method, we divide objects into segments and merge them by consulting partially recognition scheme. By several experiments, out method can recognize 30% occluded object with enough accuracy.
  • Keywords
    "Shape","Image segmentation","Feature extraction","Accuracy","Image recognition","Object recognition","Cameras"
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIEV.2015.7334055
  • Filename
    7334055
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3695384