• DocumentCode
    3236407
  • Title

    Distinctive parts for shape classification

  • Author

    Li, Chunyuan ; You, Xinge ; Ben Hamza, A. ; Zeng, Wu ; Zhou, Long

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    97
  • Lastpage
    102
  • Abstract
    Shape is an important cue for object recognition, While previous research on shape classification uses all parts of a feature set (e.g. contour segments, skeleton paths), we define distinctive parts that tell an object from objects of a different type. Our approach to analyze distinctive part is based on performing a shape-based search using each part as a query into a database. Distinctive parts of a shape are consistent with objects of the same type and different from objects of other types. Experimental results demonstrate that the concept agrees with human common sense, and show the effectiveness and efficiency of our method for shape classification as well.
  • Keywords
    image classification; object recognition; shape recognition; distinctive parts classification; object recognition; shape based search; shape classification; Accuracy; Classification algorithms; Computational modeling; Distinctive parts; contour segment; shape classification; skeleton path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2158-5695
  • Print_ISBN
    978-1-4577-0283-9
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2011.6014505
  • Filename
    6014505