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Beyond scattering and absorption: Perceptual unmixing of translucent liquids

机译:超越散射和吸收:半透明液体的感知分解

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摘要

Is perception of translucence based on estimations of scattering and absorption of light or on statistical pseudocues associated with familiar materials? We compared perceptual performance with real and computer-generated stimuli. Real stimuli were glasses of milky tea. Milk predominantly scatters light and tea absorbs it, but since the tea absorbs less as the milk concentration increases, the effects of milkiness and strength on scattering and absorption are not independent. Conversely, computer-generated stimuli were glasses of “milky tea” in which absorption and scattering were independently manipulated. Observers judged tea concentrations regardless of milk concentrations, or vice versa. Maximum-likelihood conjoint measurement was used to estimate the contributions of each physical component—concentrations of milk and tea, or amounts of scattering and absorption—to perceived milkiness or tea strength. Separability of the two physical dimensions was better for real than for computer-generated teas, suggesting that interactions between scattering and absorption were correctly accounted for in perceptual unmixing, but unmixing was always imperfect. Since the real and rendered stimuli represent different physical processes and therefore differ in their image statistics, perceptual judgments with these stimuli allowed us to identify particular pseudocues (presumably learned with real stimuli) that explain judgments with both stimulus sets.
机译:半透明的感知是基于对光的散射和吸收的估计还是与熟悉的材料相关的统计伪提示?我们将感知性能与真实的和计算机生成的刺激进行了比较。真正的刺激是杯奶茶。牛奶主要是散射光,茶会吸收光,但是由于茶随着牛奶浓度的增加而吸收较少,因此乳状性和强度对散射和吸收的影响并不是独立的。相反,计算机生成的刺激是“乳茶”杯,其中吸收和散射是独立控制的。观察者判断茶的浓度与牛奶的浓度无关,反之亦然。最大似然联合测量用于估计每个物理成分(牛奶和茶的浓度,或散射和吸收的量)对感知的乳汁或茶的强度的贡献。实际中,这两个物理维度的可分离性比计算机生成的茶更好,这表明散射和吸收之间的相互作用在知觉解混中得到了正确解释,但解混始终是不完美的。由于真实刺激和渲染刺激代表不同的物理过程,因此它们的图像统计也不同,因此,根据这些刺激进行的感知判断使我们能够识别出特定的伪提示(大概是通过真实刺激学习的),这些伪提示可以解释两种刺激集的判断。

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