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Automatically mimicking unique hand-drawn pencil lines

机译:自动模仿独特的手绘铅笔线条

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摘要

In applications such as architecture, early design sketches containing accurate line drawings often mislead the target audience. Approximate human-drawn sketches are typically accepted as a better way of demonstrating fundamental design concepts. To this end we have designed an algorithm that creates lines that perceptually resemble human-drawn lines. Our algorithm works directly with input point data and a physically based mathematical model of human arm movement. Our algorithm generates unique lines of arbitrary length given the end points of a line, without relying on a database of human-drawn lines. We found that an observational analysis obtained through various user studies of human lines made a bigger impact on the algorithm than a statistical analysis. Additional studies have shown that the algorithm produces lines that are perceptually indistinguishable from that of a hand-drawn straight pencil line. A further expansion to the system resulted in mimicked dashed lines. (C) 2009 Elsevier Ltd. All rights reserved.
机译:在诸如建筑的应用中,包含准确线图的早期设计草图经常会误导目标受众。人们通常接受近似的手绘草图作为展示基本设计概念的更好方法。为此,我们设计了一种算法,该算法可以创建与人类绘制的线条在感觉上相似的线条。我们的算法直接与输入点数据和人体手臂运动的基于物理的数学模型一起工作。给定线的端点,我们的算法可以生成任意长度的独特线,而无需依赖于人工绘制的线的数据库。我们发现,通过对用户系的各种用户研究获得的观察性分析比统计分析对算法的影响更大。进一步的研究表明,该算法产生的线条与手绘的直线笔线在视觉上无法区分。对系统的进一步扩展导致了虚线的模仿。 (C)2009 Elsevier Ltd.保留所有权利。

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