• DocumentCode
    3483420
  • Title

    Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)

  • Author

    Kiong, Loo Chu ; Peng, Teh Joo

  • Author_Institution
    Fac. of Eng. & Technol., Multimedia Univ., Melaka
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    433
  • Lastpage
    438
  • Abstract
    This paper presents the first attempt of designing a physical quantum-like `brain´ for humanoid and experimentally proves a 2D invariant object recognition model inspired by the image processing along the human visual pathway: retina, lateral geniculate nucleus (LGN) and primary visual cortex (V1). It also describes storing the output of the model in quantum holographic memory (a hologram) and the method to reconstruct the visual representation. The work is implemented as system-on-a-chip in field-programmable gate array (FPGA).
  • Keywords
    object recognition; system-on-chip; 2D invariant object recognition model; field-programmable gate array; human visual pathway; image processing; lateral geniculate nucleus; primary visual cortex; quantum bio-inspired invariant object recognition model; quantum holographic memory; retina; system-on-a-chip; visual representation; Biological system modeling; Brain modeling; Field programmable gate arrays; Filters; Hardware; Humanoid robots; Humans; Object recognition; Retina; System-on-a-chip; Biological-inspired vision; FPGA design; System-on-a-chip; invariant object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1675-2
  • Electronic_ISBN
    978-1-4244-1676-9
  • Type

    conf

  • DOI
    10.1109/RAMECH.2008.4681389
  • Filename
    4681389