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颜色、轮廓、阴影和形状:流动相互作用揭示锚定邻域。

Colour, contours, shading and shape: flow interactions reveal anchor neighbourhoods.

作者信息

Kunsberg Benjamin, Holtmann-Rice Daniel, Alexander Emma, Cholewiak Steven, Fleming Roland, Zucker Steven W

机构信息

Department of Applied Mathematics, Brown University, Providence, RI, USA.

Department of Computer Science, Yale University, New Haven, CT, USA.

出版信息

Interface Focus. 2018 Aug 6;8(4):20180019. doi: 10.1098/rsfs.2018.0019. Epub 2018 Jun 15.

Abstract

Two dilemmas arise in inferring shape information from shading. First, depending on the rendering physics, images can change significantly with (even) small changes in lighting or viewpoint, while the percept frequently does not. Second, brightness variations can be induced by material effects-such as pigmentation-as well as by shading effects. Improperly interpreted, material effects would confound shading effects. We show how these dilemmas are coupled by reviewing recent developments in shape inference together with a role for colour in separating material from shading effects. Aspects of both are represented in a common geometric (flow) framework, and novel displays of hue/shape interaction demonstrate a global effect with interactions limited to localized regions. Not all parts of an image are perceptually equal; shape percepts appear to be constructed from image anchor regions.

摘要

从阴影中推断形状信息会出现两个难题。其一,根据渲染物理原理,图像可能会因光照或视角的(哪怕是)微小变化而显著改变,而感知通常不会。其二,亮度变化可能由材料效应(如色素沉着)以及阴影效应引起。如果解释不当,材料效应会混淆阴影效应。我们通过回顾形状推断的最新进展以及颜色在区分材料和阴影效应中的作用,来展示这些难题是如何相互关联的。两者的各个方面都在一个通用的几何(流)框架中得到体现,新颖的色调/形状交互显示展示了一种全局效应,且交互作用仅限于局部区域。图像的并非所有部分在感知上都是等同的;形状感知似乎是由图像锚定区域构建而成的。

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