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
fDate :
4/1/1996 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.485837