简化线条绘制的密度测量

Stéphane Grabli, F. Durand, F. Sillion
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引用次数: 63

摘要

我们提出了一种控制NPR线绘制中的杂波的方法,其中视图和绘制复杂性的措施驱动线的简化或省略。我们定义了两种类型的密度信息:先验密度和因果密度,并使用它们来控制绘图的哪些部分需要简化。先验密度是潜在绘图的视觉复杂性的度量,是根据视图中线条的完整排列来计算的。这一措施提供了一种系统的方法来描述杂乱区域的几何结构、规模和方向性。因果密度测量添加笔画时绘图当前状态的空间复杂性,允许通过省略线条或风格化来控制混乱。我们展示了这些密度测量如何允许各种图形简化风格,其中复杂性通过指示统一地或以空间变化的方式减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Density measure for line-drawing simplification
We present an approach for clutter control in NPR line drawing where measures of view and drawing complexity drive the simplification or omission of lines. We define two types of density information: the a-priori density and the causal density, and use them to control which parts of a drawing need simplification. The a-priori density is a measure of the visual complexity of the potential drawing and is computed on the complete arrangement of lines from the view. This measure affords a systematic approach for characterizing the structure of cluttered regions in terms of geometry, scale, and directionality. The causal density measures the spatial complexity of the current state of the drawing as strokes are added, allowing for clutter control through line omission or stylization. We show how these density measures permit a variety of pictorial simplification styles where complexity is reduced either uniformly, or in a spatially-varying manner through indication.
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