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Illumination discrimination in real and simulated scenes

机译:真实和模拟场景中的照明辨别

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摘要

Characterizing humans' ability to discriminate changes in illumination provides information about the visual system's representation of the distal stimulus. We have previously shown that humans are able to discriminate illumination changes and that sensitivity to such changes depends on their chromatic direction. Probing illumination discrimination further would be facilitated by the use of computer-graphics simulations, which would, in practice, enable a wider range of stimulus manipulations. There is no a priori guarantee, however, that results obtained with simulated scenes generalize to real illuminated scenes. To investigate this question, we measured illumination discrimination in real and simulated scenes that were well-matched in mean chromaticity and scene geometry. Illumination discrimination thresholds were essentially identical for the two stimulus types. As in our previous work, these thresholds varied with illumination change direction. We exploited the flexibility offered by the use of graphics simulations to investigate whether the differences across direction are preserved when the surfaces in the scene are varied. We show that varying the scene's surface ensemble in a manner that also changes mean scene chromaticity modulates the relative sensitivity to illumination changes along different chromatic directions. Thus, any characterization of sensitivity to changes in illumination must be defined relative to the set of surfaces in the scene.
机译:表征人类区分照明变化的能力可提供有关视觉系统对远端刺激的表示的信息。先前我们已经证明,人类能够区分照明变化,并且对这种变化的敏感性取决于他们的色度方向。计算机图形仿真的使用将进一步促进探测照明辨别力,这在实践中将能够实现更大范围的刺激操纵。但是,没有先验保证,使用模拟场景获得的结果可以推广到真实的照明场景。为了研究这个问题,我们在真实和模拟场景中测量了照明辨别力,这些场景在平均色度和场景几何形状上非常匹配。两种刺激类型的照明辨别阈值基本相同。与我们以前的工作一样,这些阈值随照明变化方向而变化。我们利用图形仿真提供的灵活性来调查当场景中的表面变化时是否保留了方向上的差异。我们显示,以也改变平均场景色度的方式改变场景的表面集合,可以调节沿不同色度方向的照明变化的相对灵敏度。因此,必须相对于场景中的一组表面定义对照明变化敏感度的任何特征。

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