arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2210.07590cs.ROcs.GR
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基于笔划的艺术绘画机器人绘制规划

Stroke-based Rendering and Planning for Robotic Performance of Artistic Drawing

Gettysburg College(葛底斯堡学院);Ewha womans university(梨花女子大学)

Ivaylo Ilinkin, Daeun Song, Young J. Kim

摘要:

提出了一种新的基于笔划绘制(SBR)的机器人绘图系统。我们的动机是整个表演的艺术质量。不仅在最终绘图中生成的笔划应该类似于输入图像,而且笔划序列还应该表现出人类艺术家的规划过程。因此,当机器人执行绘图任务时,绘图结果和机器人执行的方式看起来都是艺术的。我们的SBR系统是基于图像分割和深度估计。它以一定的顺序生成绘画笔画,允许快速感知预期的形状,并在人类观察时逐渐填充和出现其详细特征。这种排序表示绘图机器人应该遵循的笔划计划,以创建图像的艺术渲染。我们的实验表明,我们的基于SBR的绘画,使视觉上令人愉快的艺术图像,我们的机器人系统可以复制的结果与适当的序列的中风绘画。

英文摘要:

We present a new robotic drawing system based on stroke-based rendering (SBR). Our motivation is the artistic quality of the whole performance. Not only should the generated strokes in the final drawing resemble the input image, but the stroke sequence should also exhibit a human artist's planning process. Thus, when a robot executes the drawing task, both the drawing results and the way the robot executes would look artistic. Our SBR system is based on image segmentation and depth estimation. It generates the drawing strokes in an order that allows for the intended shape to be perceived quickly and for its detailed features to be filled in and emerge gradually when observed by the human. This ordering represents a stroke plan that the drawing robot should follow to create an artistic rendering of images. We experimentally demonstrate that our SBR-based drawing makes visually pleasing artistic images, and our robotic system can replicate the result with proper sequences of stroke drawing.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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