彩色阴影改善感知

Veronika Soltészová, Daniel Patel, I. Viola
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引用次数: 41

摘要

柔和的阴影是有效的深度和形状线索。然而,传统的阴影算法会降低阴影区域的亮度。阴影中的特征变暗,从而导致信息隐藏。因此,在阴影区域,医学插图师较少降低亮度,并通过添加颜色来补偿较低的亮度范围,即通过引入彩色分量。本文提出了一种新的技术,使一个说明性阴影表示的交互式设置,以防止过暗的重要结构。我们为每个体素引入一个标量属性,表示为阴影度,并提出一个阴影传递函数,将阴影映射到颜色和混合因子。通常,混合因子随阴影度线性增加。然后我们让原始物体的颜色与阴影的颜色根据混合系数进行混合。我们建议一个特定的阴影传递功能,与医学插画师一起设计,将阴影颜色转向蓝色。这个阴影传递函数是相对深度和表面感知进行定量评估的。
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Chromatic shadows for improved perception
Soft shadows are effective depth and shape cues. However, traditional shadowing algorithms decrease the luminance in shadow areas. The features in shadow become dark and thus shadowing causes information hiding. For this reason, in shadowed areas, medical illustrators decrease the luminance less and compensate the lower luminance range by adding color, i.e., by introducing a chromatic component. This paper presents a novel technique which enables an interactive setup of an illustrative shadow representation for preventing overdarkening of important structures. We introduce a scalar attribute for every voxel denoted as shadowiness and propose a shadow transfer function that maps the shadowiness to a color and a blend factor. Typically, the blend factor increases linearly with the shadowiness. We then let the original object color blend with the shadow color according to the blend factor. We suggest a specific shadow transfer function, designed together with a medical illustrator which shifts the shadow color towards blue. This shadow transfer function is quantitatively evaluated with respect to relative depth and surface perception.
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