• DocumentCode
    1655660
  • Title

    An ultrasonic 3D object recognition method based on the unified neural network theory

  • Author

    Watanabe, Sumio ; Yoneyama, Masahide

  • Author_Institution
    RICOH Co., Ltd., Yokohama, Japan
  • fYear
    1992
  • Firstpage
    1191
  • Abstract
    A new 3D object recognition method is proposed using acoustical imaging and a probability competition neural network. Its performance is shown by experimental results. 3-D objects are not only classified but also identified based on the unified neural network theory
  • Keywords
    acoustic imaging; image recognition; neural nets; acoustical imaging; probability competition neural network; ultrasonic 3D object recognition method; unified neural network theory; Acoustic imaging; Acoustic scattering; Glass; Image recognition; Neural networks; Object recognition; Optical computing; Optical imaging; Optical transmitters; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 1992. Proceedings., IEEE 1992
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0562-0
  • Type

    conf

  • DOI
    10.1109/ULTSYM.1992.275887
  • Filename
    275887
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1655660