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Computer retina that models the primate retina

机译:模拟灵长类视网膜的计算机视网膜

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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 model exhibits many of the properties found in biological retina 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 spatio temporal contrast information. The model is validated by replicating experiments commonly performed by electrophysiologists on biological retinas and comparing the response of the computer retina to data from experiments in monkeys. In addition, the response of the model to synthetic images is shown. The experiments demonstrate that the model behaves in a manner qualitatively similar to biological retinas and thus may serve as a basis for the development of an `artificial retina.' !33
机译:摘要:在视网膜层面,生物视觉系统所采用的策略使它们胜过机器视觉系统,从而基于相似原理激励了电子或“智能”传感器的设计。在硅中设计这种传感器首先需要视网膜信息处理模型,该模型捕获生物视网膜所展现的基本特征。本文提出了一种简单的视网膜模型,该模型定性地说明了灵长类视锥系统中消色差信息的处理。该模型展现出生物视网膜中的许多特性,例如通过非均匀采样减少数据,适应光照水平的大动态范围,视敏度随光照水平的变化以及时空对比信息的增强。通过复制通常由电生理学家在生物视网膜上进行的实验并比较计算机视网膜对猴子实验数据的响应来验证该模型。此外,还显示了模型对合成图像的响应。实验表明,该模型的行为在质量上类似于生物视网膜,因此可以作为“人工视网膜”发展的基础。 !33

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