Vis-CRF: A Simplified Filtering Model for Vision

Nasim Nematzadeh, D. Powers, T. Lewis
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Abstract

Over the last decade, a variety of new neurophysiological experiments have deepened our understanding about retinal cells functionality, leading to new insights as to how, when and where retinal processing takes place, and the nature of the retinal representation and encoding sent to the cortex for further processing. Based on these neurobiological discoveries, we provide computer simulation evidence to suggest that Geometrical illusions are explained in part, by the interaction of multiscale visual processing performed in the retina supporting previous studies [1, 2]. The output of our retinal stage model, named Vis-CRF which is a filtering vision model is presented here for a sample of Café Wall pattern and for an illusory pattern, in which the final percept arises from multiple scale processing of Difference of Gaussians (DoG) and the perceptual interaction of foreground and background elements.
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视觉- crf:一种简化的视觉过滤模型
在过去的十年中,各种新的神经生理学实验加深了我们对视网膜细胞功能的理解,导致了关于视网膜处理如何,何时和何地发生,以及视网膜表征和编码的本质发送到皮层进行进一步处理的新见解。基于这些神经生物学的发现,我们提供了计算机模拟证据,表明几何错觉可以部分解释为视网膜中进行的多尺度视觉处理的相互作用,支持先前的研究[1,2]。我们的视网膜阶段模型的输出,称为Vis-CRF,这是一个过滤视觉模型,在这里展示了一个caf墙壁图案和一个错觉图案的样本,其中最终的感知来自于对高斯差分(DoG)的多尺度处理以及前景和背景元素的感知交互。
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