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Understanding gloss perception through the lens of art: Combining perception, image analysis, and painting recipes of 17th century painted grapes

机译:通过艺术的角度来理解光泽感:结合感知,图像分析和17世纪彩绘葡萄的绘画配方

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To understand the key image features that we use to infer the glossiness of materials, we analyzed the pictorial shortcuts used by 17th century painters to imitate the optical phenomenon of specular reflections when depicting grapes. Gloss perception of painted grapes was determined via a rating experiment. We computed the contrast, blurriness, and coverage of the grapes' highlights in the paintings' images, inspired by Marlow and Anderson ( 2013 ). The highlights were manually segmented from the images, and next the features contrast, coverage, and blurriness were semiautomatically quantified using self-defined algorithms. Multiple linear regressions of contrast and blurriness resulted in a predictive model that could explain 69% of the variance in gloss perception. No effect was found for coverage. These findings are in agreement with the instructions to render glossiness of grapes contained in a 17th century painting manual (Beurs, 1692 / in press ), suggesting that painting practice embeds knowledge about key image features that trigger specific material percepts.
机译:为了了解我们用来推断材料光泽度的关键图像特征,我们分析了17世纪画家在描绘葡萄时使用的图形快捷方式来模仿镜面反射的光学现象。通过评级实验确定了彩绘葡萄的光泽感。在Marlow和Anderson(2013)的启发下,我们计算了绘画图像中葡萄高光的对比度,模糊度和覆盖率。从图像中手动分割高光,然后使用自定义算法对特征对比度,覆盖率和模糊度进行半自动量化。对比度和模糊度的多个线性回归结果形成了一个预测模型,该模型可以解释69%的光泽感变化。没有发现覆盖效果。这些发现与17世纪绘画手册(Beurs,1692 /印刷中)中所包含的使葡萄具有光泽度的说明相吻合,表明绘画实践中嵌入了有关触发特定材料感知的关键图像特征的知识。

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