• DocumentCode
    827385
  • Title

    3-D object recognition using fuzzy quaternions

  • Author

    Ngan, K.N. ; Kang, S.B.

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
  • Volume
    139
  • Issue
    6
  • fYear
    1992
  • Firstpage
    561
  • Lastpage
    568
  • Abstract
    A new discrimination method based on fuzzy subset theory is proposed. This approach uses Zernike moment invariants of the silhouette of the unknown object to form a set of fuzzy-weighted quantities called fuzzy quaternions. These are matched against those of known objects at predetermined viewpoints. To speed up the recognition process, a modified simplex version of the Nelder-Mead algorithm is utilised. Results obtained demonstrate the potential of the fuzzy quaternion as a viable basis for discrimination.<>
  • Keywords
    fuzzy set theory; pattern recognition; 3-D object recognition; Nelder-Mead algorithm; Zernike moment invariants; discrimination method; fuzzy quaternions; fuzzy subset theory; silhouette;
  • fLanguage
    English
  • Journal_Title
    Communications, Speech and Vision, IEE Proceedings I
  • Publisher
    iet
  • ISSN
    0956-3776
  • Type

    jour

  • Filename
    180524
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=827385