• DocumentCode
    762607
  • Title

    Visual information processing in primate cone pathways. I. A model

  • Author

    Shah, Samir ; Levine, Martin D.

  • Author_Institution
    Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
  • Volume
    26
  • Issue
    2
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    259
  • Lastpage
    274
  • Abstract
    At the retinal level, the strategies utilized by biological visual systems allow them to outperform machine vision systems, serving to motivate the design of electronic or “smart” sensors based on similar principles. Design of such sensors in silicon first requires a model of retinal information processing which captures the essential features exhibited by biological retinas. In this paper, a simple retinal model is presented, which qualitatively accounts for the achromatic information processing in the primate cone system. The computer retina model exhibits many of the properties found in biological retinas such as data reduction through nonuniform sampling, adaptation to a large dynamic range of illumination levels, variation of visual acuity with illumination level, and enhancement of spatiotemporal contrast information. The main emphasis of the model presented here is to demonstrate how different adaptation mechanisms play a role in extending the operating range of the primate retina
  • Keywords
    colour vision; computer vision; eye; neurophysiology; physiological models; achromatic information processing; biological visual systems; data reduction; daylight color vision; machine vision systems; nonuniform sampling; primate cone pathways; retinal information processing; spatiotemporal contrast information; visual information processing; Biological system modeling; Biosensors; Information processing; Lighting; Machine vision; Retina; Sensor phenomena and characterization; Sensor systems; Silicon; Visual system;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.485837
  • Filename
    485837