• DocumentCode
    3491931
  • Title

    A Random Projection Imager for Visual Pattern Classification in Analog VLSI

  • Author

    Bridges, Seth ; Holleman, Jeremy ; Mitros, Ania ; Diorio, Chris ; Figueroa, Miguel

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    428
  • Lastpage
    431
  • Abstract
    In this paper, we present a novel CMOS imager architecture that implements the random projection dimensionality reduction algorithm in the focal plane. We employ analog signal processing techniques to achieve low-power operation and our imager can readily integrate with known low-power VLSI classifiers. We fabricated a 20 times 20 pixel prototype of our 4.2mm2 imager in 0.35 mum CMOS that performs 1GOPS while consuming 1.25mW of power from a 5V supply
  • Keywords
    CMOS image sensors; VLSI; low-power electronics; pattern classification; signal processing; 0.35 micron; 1.25 mW; 5 V; CMOS imager architecture; analog VLSI; analog signal processing techniques; low-power VLSI classifiers; random projection imager; visual pattern classification; Analog computers; Face detection; Hardware; Pattern classification; Pixel; Principal component analysis; Prototypes; Signal processing algorithms; Vectors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State Circuits Conference, 2006. ESSCIRC 2006. Proceedings of the 32nd European
  • Conference_Location
    Montreux
  • ISSN
    1930-8833
  • Print_ISBN
    1-4244-0303-0
  • Type

    conf

  • DOI
    10.1109/ESSCIR.2006.307472
  • Filename
    4099795
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3491931