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Lightness Discrimination Depends More on Bright Rather Than Shaded Regions of Three-Dimensional Objects

机译:亮度区分更多地取决于三维对象的阴影区域而不是明亮区域

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摘要

The brighter portions of a shaded complex object are in principle more informative about its lightness and are preferentially fixated during lightness judgments. In this study, we investigate whether preventing this strategy also has measurable detrimental effects on performance. Observers were presented with a reference and a comparison three-dimensional rendered object and had to choose which one was “painted with a lighter gray.” The comparison was rendered with different diffuse reflectance values. We compared precision between three different conditions: full image, 20% of the lightest pixels removed, or 20% of the darkest pixels removed. Removing the bright pixels maximally impaired performance. The results confirm that the strategy of relying on the brightest areas of a complex object in order to estimate lightness is functionally optimal, yielding more precise representations.
机译:阴影复杂物体的较亮部分原则上对其亮度有更多信息,并在亮度判断期间优先固定。在这项研究中,我们调查了预防此策略是否也对绩效产生可衡量的有害影响。为观察者提供了参考和比较的三维渲染对象,并且不得不选择“用浅灰色绘制”的对象。用不同的漫反射率值进行比较。我们比较了三种不同条件之间的精度:完整图像,删除了最亮像素的20%或删除了最暗像素的20%。去除亮像素会极大地降低性能。结果证实,依靠复杂物体的最亮区域来估计亮度的策略在功能上是最佳的,可以产生更精确的表示。

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