• DocumentCode
    2001307
  • Title

    Face-Vase Illusion CNN

  • Author

    Li, Weidong ; Ren, Ying ; Min, Lequan

  • Author_Institution
    Sch. of Appl. Sci., Univ. of Sci. & Technol., Beijing, China
  • Volume
    2
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    157
  • Lastpage
    161
  • Abstract
    The cellular neural/nonlinear network (CNN) has become a useful tool for image and signal processing, robotic and biological visions, and higher brain functions. visual illusion is defined as any fallacious perception of reality. In 1997, Chua proposed a CNN template named face-vase illusion (FVI) CNN. It can simulate some visual illusions. In this paper, we figure out the local rules of the FVI CNN. A theorem has been set up which proves that the FVI CNN does satisfy the local rules. An interesting function of the FVI CNN is that it can also detect the connectivity in an image. Some numerical simulations are given.
  • Keywords
    brain; cellular neural nets; face recognition; numerical analysis; brain functions; cellular neural/nonlinear network; face-vase illusion CNN; numerical simulations; Biological system modeling; Biomedical signal processing; Brain modeling; Cellular networks; Cellular neural networks; Computational intelligence; Displays; Face detection; Numerical simulation; Robot vision systems; cellular neural network; connectivity; face-vase illusion CNN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.135
  • Filename
    4724756