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Matching the Material of Transparent Objects: The Role of Background Distortions

机译:匹配透明物体的材料:背景失真的作用

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摘要

It has been proposed that the visual system is able to estimate the refractive index of thick transparent objects from background distortions caused by them. More specifically, it was hypothesized that this is done based on a mid-level cue, the distortion field, whose computation from the input requires comparing the part of the background seen through the object with the part visible in plain view. We test two predictions derived from this hypothesis: (a) scene variables that do not change the distortion field, for instance, the density of the background texture, should not systematically influence the subjects’ settings in a material matching task. (b) The uncertainty of the estimates should increase sharply, if the part of the background texture in plain view is removed. Our results are not compatible with these two predictions but are completely in line with the alternative interpretation that the subjects maximized the similarity of the distorted background textures on the image level. Additional results indicate that subjects can take relations between the distorted and the undistorted background into account if this is encouraged by the experimental design, but they do this in a simplistic way that is inappropriate to estimate the refractive index.
机译:已经提出视觉系统能够根据由厚透明物体引起的背景失真来估计它们的折射率。更具体地,假设这是基于中间级提示(即失真场)完成的,该失真场从输入中进行计算需要将通过对象看到的背景部分与在普通视图中可见的部分进行比较。我们测试了从该假设得出的两个预测:(a)不会改变失真场的场景变量,例如背景纹理的密度,不应在材料匹配任务中系统地影响对象的设置。 (b)如果去除了普通视图中的部分背景纹理,估计的不确定性应急剧增加。我们的结果与这两个预测不兼容,但与另一解释完全一致,即对象在图像级别上最大化了扭曲的背景纹理的相似性。其他结果表明,如果实验设计鼓励这样做,则受试者可以考虑扭曲背景和未扭曲背景之间的关系,但是他们这样做的方式过于简单,不适合估算折射率。

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