• DocumentCode
    1477013
  • Title

    Real-Time Unconstrained Object Recognition: A Processing Pipeline Based on the Mammalian Visual System

  • Author

    Aguilar, Mario ; Peot, Mark A. ; Zhou, Jiangying ; Simons, Stephen ; Liao, Yuwei ; Metwalli, Nader ; Anderson, Mark B.

  • Author_Institution
    Teledyne Sci. Co., Durham, NC, USA
  • Volume
    3
  • Issue
    2
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    53
  • Lastpage
    56
  • Abstract
    The mammalian visual system is still the gold standard for recognition accuracy, flexibility, efficiency, and speed. Ongoing advances in our understanding of function and mechanisms in the visual system can now be leveraged to pursue the design of computer vision architectures that will revolutionize the state of the art in computer vision.
  • Keywords
    computer vision; object recognition; computer vision architectures; mammalian visual system; real time unconstrained object recognition; visual system; Feature extraction; Image color analysis; Object recognition; Real time systems; Retina; Visual systems; Artificial Intelligence; Humans; Image Processing, Computer-Assisted; Models, Neurological; Pattern Recognition, Automated; Pattern Recognition, Visual; Retina; Visual Cortex;
  • fLanguage
    English
  • Journal_Title
    Pulse, IEEE
  • Publisher
    ieee
  • ISSN
    2154-2287
  • Type

    jour

  • DOI
    10.1109/MPUL.2011.2181025
  • Filename
    6173099
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1477013