能见度窗口如何随极角变化

bioRxiv Pub Date : 2024-07-16 DOI:10.1101/2024.07.12.603257
Y. Kwak, Zhong-Lin Lu, Marisa Carrasco
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引用次数: 0

摘要

对比敏感度是指检测或辨别物体所需的对比度,它取决于空间频率(SF):对比敏感度函数(CSF)在中等空间频率时达到峰值,在较低和较高的空间频率时下降,是视觉物体识别计算模型的基础。CSF 从眼窝到周边视觉都有变化,但只有几项研究评估了视野极角周围的变化。水平经线上的灵敏度通常比垂直经线上的灵敏度高,垂直经线下端比垂直经线上端灵敏度高,这就产生了极角不对称现象。在此,我们采用层次贝叶斯建模法研究了极角位置的 CSF 属性,包括群体和个体两个层面。这种方法将数据集的可变性分解为多个层次,并分析观察者之间的协方差,从而精确估计 CSF 参数。在群体水平上,对比敏感度峰值和敏感度最高的相应空间频率在水平子午线上高于垂直子午线,在垂直子午线下高于垂直子午线上。在个体水平上,不同位置的 CSF 属性(如最高灵敏度、最喜欢的 SF)高度相关,这表明尽管不同位置的 CSF 不同,但一个位置的 CSF 可以预测另一个位置的 CSF。在每个位置内,CSF 属性共同变化,表明不同个体的 CSF 以一致的方式变化(例如,随着最大灵敏度的增加,灵敏度达到峰值的 SF 也随之增加),但水平经线位置的 CSF 比垂直经线位置的 CSF 变化更大。这些结果显示了不同位置和个体之间的相似性,同时也揭示了一些关键的极角差异,这表明 CSF 不应该在视野周围的等中心位置通用。我们的能见度窗口随极角的变化而变化:在水平子午线上,可见度窗口会增强,并且更加一致。作者简介 对比敏感度函数(CSF)描述了我们感知对比度的能力如何取决于空间频率,是我们 "能见度窗口 "的特征:我们只能看到具有对比度和空间频率特性的物体。CSF 大多只沿着视野的水平经线进行评估,有时也会对不同位置进行平均,但视觉表现会随极角的变化而变化(例如,我们对水平经线上的物体比垂直经线上的物体更敏感)。在这里,我们对 CSF 的关键属性进行了系统评估,并显示了不同极角和不同个体在能见度窗口上的关键差异。我们发现,与垂直子午线相比,水平子午线上的整体对比敏感度和首选 SF 都更高,观察者个体的 CSF 共同变化也更大。这项研究强调,这一基本的感知度量是不一样的,应该在视野周围进行评估。因此,在视觉计算模型中应用 CSF 时,极角应是一个关键的考虑因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How the window of visibility varies around polar angle
Contrast sensitivity, the amount of contrast required to detect or discriminate an object, depends on spatial frequency (SF): The Contrast Sensitivity Function (CSF) peaks at intermediate SFs and drops at lower and higher SFs and is the basis of computational models of visual object recognition. The CSF varies from foveal to peripheral vision, but only a couple studies have assessed changes around polar angle of the visual field. Sensitivity is generally better along the horizontal than the vertical meridian, and better at the lower vertical than the upper vertical meridian, yielding polar angle asymmetries. Here, we investigate CSF attributes at polar angle locations at both group and individual levels, using Hierarchical Bayesian Modeling. This method enables precise estimation of CSF parameters by decomposing the variability of the dataset into multiple levels and analyzing covariance across observers. At the group level, peak contrast sensitivity and corresponding spatial frequency with the highest sensitivity are higher at the horizontal than vertical meridian, and at the lower than upper vertical meridian. At an individual level, CSF attributes (e.g., maximum sensitivity, the most preferred SF) across locations are highly correlated, indicating that although the CSFs differ across locations, the CSF at one location is predictive of the CSF at another location. Within each location, the CSF attributes co-vary, indicating that CSFs across individuals vary in a consistent manner (e.g., as maximum sensitivity increases, wso does the SF at which sensitivity peaks), but more so at the horizontal than the vertical meridian locations. These results show similarities and uncover some critical polar angle differences across locations and individuals, suggesting that the CSF should not be generalized across iso-eccentric locations around the visual field. Our window of visibility varies with polar angle: It is enhanced and more consistent at the horizontal meridian. Author summary The contrast sensitivity function (CSF), depicting how our ability to perceive contrast depends on spatial frequency, characterizes our “window of visibility”: We can only see objects with contrast and spatial frequency properties encompassed by this function. The CSF is mostly assessed only along the horizontal meridian of the visual field and sometimes averaged across locations, but visual performance varies with polar angle (e.g., we are more sensitive to objects along the horizontal than the vertical meridian). Here, we systematically assess the key attributes of the CSF and show critical differences in the window of visibility across polar angles and individuals. We found that at the horizontal meridian, our overall contrast sensitivity and preferred SF are higher, and CSFs of individual observers co-vary more than at the vertical meridian. This research highlights that this fundamental perceptual measure is not the same and should be assessed around the visual field. Polar angle thus should be a key consideration for applications of the CSF in computational models of vision.
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