stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and area

Rafał K. Mantiuk, Alexandre Chapiro, Alexandre Chapiro
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引用次数: 14

Abstract

contrast many The existing CSFs typically account for a subset of relevant dimensions describing a stimulus, limiting the use of such functions to either static or foveal content but not both. In this paper, we propose a unified CSF, stelaCSF, which accounts for all major dimensions of the stimulus: spatial and temporal frequency, eccentricity, luminance, and area. To model the 5- dimensional space of contrast sensitivity, we combined data from 11 papers, each of which studied a subset of this space. While previously proposed CSFs were fitted to a single dataset, stelaCSF can predict the data from all these studies using the same set of parameters. The predictions are accurate in the entire domain, including low frequencies. In addition, stelaCSF relies on psychophysical models and experimental evidence to explain the major interactions between the 5 dimensions of the CSF. We demonstrate the utility of our new CSF in a flicker detection metric and in foveated rendering.
stelaCSF:对比灵敏度作为时空频率、偏心率、亮度和面积函数的统一模型
现有的csf通常只考虑描述刺激的相关维度的一个子集,限制了这些功能的使用,要么是静态的,要么是中央凹的内容,而不是两者都使用。在本文中,我们提出了一个统一的CSF, stelaCSF,它考虑了刺激的所有主要维度:空间和时间频率,离心率,亮度和面积。为了模拟对比敏感度的5维空间,我们结合了11篇论文的数据,每篇论文都研究了这个空间的一个子集。虽然以前提出的csf是针对单个数据集进行拟合的,但stelaCSF可以使用相同的参数集预测所有这些研究的数据。预测在整个域都是准确的,包括低频。此外,stelaCSF依赖于心理物理模型和实验证据来解释脑脊液5个维度之间的主要相互作用。我们展示了我们的新CSF在闪烁检测度量和注视点渲染中的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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