• DocumentCode
    2720346
  • Title

    VLSI-implementable scheme for invariant object recognition

  • Author

    Rao, Arun ; Akers, LA

  • Author_Institution
    Center for Solid State Electron. Res., Arizona State Univ., Tempe, AZ, USA
  • fYear
    1991
  • fDate
    27-30 Mar 1991
  • Firstpage
    17
  • Lastpage
    22
  • Abstract
    The authors describe the development of a VLSI smart sensor which borrows some mechanisms used by the human eye to generate abstractions of simple line drawings which are invariant with respect to scale and position. It is demonstrated by simulation that a corner-based abstraction method is suitable for generating signatures invariant with respect to scale and position. It is shown that such a sensor (1) is capable of real-time performance, (2) yields a considerably higher resolution than conventional schemes, and (3) is similar in some important respects to the human visual system. Two implementation schemes are described, and it is shown that they are capable of real-time performance. Limitations of the technique are mentioned, as is the simple extension of the method to gray-scale images
  • Keywords
    VLSI; computer architecture; computerised pattern recognition; real-time systems; VLSI-implementable scheme; corner-based abstraction; gray-scale images; implementation schemes; invariant object recognition; line drawings; real-time performance; resolution; signatures; smart sensor; Humans; Intelligent sensors; Object recognition; Optical sensors; Photoreceptors; Retina; Sensor systems; Solid state circuits; Very large scale integration; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 1991. Conference Proceedings., Tenth Annual International Phoenix Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    0-8186-2133-8
  • Type

    conf

  • DOI
    10.1109/PCCC.1991.113786
  • Filename
    113786