A simple, stroke-based method for gesture drawing

Q1 Computer Science
Lesley Istead , Joe Istead , Andreea Pocol , Craig S. Kaplan
{"title":"A simple, stroke-based method for gesture drawing","authors":"Lesley Istead ,&nbsp;Joe Istead ,&nbsp;Andreea Pocol ,&nbsp;Craig S. Kaplan","doi":"10.1016/j.vrih.2022.08.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Gesture drawing is a type of fluid, fast sketch with loose and roughly drawn lines that captures the motion and feeling of a subject. Although style transfer methods, which are able to learn a style from an input image and apply it to a secondary image, can reproduce many styles, they are currently unable to produce the flowing strokes of gesture drawings.</p></div><div><h3>Method</h3><p>In this paper, we present a method for producing gesture drawings that roughly depict objects or scenes with loose dancing contours and frantic textures. By following a gradient field, our method adapts stroke-based painterly rendering algorithms to produce long curved strokes. A rough, overdrawn appearance is created through a progressive refinement. In addition, we produce rough hatch strokes by altering the stroke direction. These add optional shading to gesture drawings.</p></div><div><h3>Results</h3><p>A wealth of parameters provide users the ability to adjust the output style, from short and rapid strokes to long and fluid strokes, and from swirling to straight lines. Potential stylistic outputs include pen-and-ink and colored pencil. We present several generated gesture drawings and discuss the application of our method to video.</p></div><div><h3>Conclusion</h3><p>Our stroke-based rendering algorithm produces convincing gesture drawings with numerous controllable parameters, permitting the creation of a variety of styles.</p></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096579622000791/pdf?md5=5d6ede6955247fdfc333f73a0cddaa0d&pid=1-s2.0-S2096579622000791-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtual Reality Intelligent Hardware","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096579622000791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Gesture drawing is a type of fluid, fast sketch with loose and roughly drawn lines that captures the motion and feeling of a subject. Although style transfer methods, which are able to learn a style from an input image and apply it to a secondary image, can reproduce many styles, they are currently unable to produce the flowing strokes of gesture drawings.

Method

In this paper, we present a method for producing gesture drawings that roughly depict objects or scenes with loose dancing contours and frantic textures. By following a gradient field, our method adapts stroke-based painterly rendering algorithms to produce long curved strokes. A rough, overdrawn appearance is created through a progressive refinement. In addition, we produce rough hatch strokes by altering the stroke direction. These add optional shading to gesture drawings.

Results

A wealth of parameters provide users the ability to adjust the output style, from short and rapid strokes to long and fluid strokes, and from swirling to straight lines. Potential stylistic outputs include pen-and-ink and colored pencil. We present several generated gesture drawings and discuss the application of our method to video.

Conclusion

Our stroke-based rendering algorithm produces convincing gesture drawings with numerous controllable parameters, permitting the creation of a variety of styles.

一个简单的,基于笔画的手势绘制方法
手势绘画是一种流畅、快速的素描,用松散和粗略的线条来捕捉物体的运动和感觉。虽然能够从输入图像中学习风格并将其应用于第二图像的风格转移方法可以复制许多风格,但它们目前无法产生手势绘画的流畅笔触。方法在本文中,我们提出了一种粗略描绘具有松散舞蹈轮廓和疯狂纹理的物体或场景的手势绘图方法。通过跟踪梯度场,我们的方法采用基于笔画的绘画渲染算法来生成长曲线笔画。粗糙,透支的外观是通过逐步细化创建的。此外,我们通过改变冲程方向来产生粗冲程。它们为手势绘图添加了可选的阴影。结果丰富的参数为用户提供了调整输出样式的能力,从短而快速的笔画到长而流畅的笔画,从旋转到直线。潜在的风格输出包括钢笔和墨水和彩色铅笔。我们给出了几个生成的手势图形,并讨论了我们的方法在视频中的应用。我们的基于笔画的绘制算法产生了具有许多可控参数的令人信服的手势绘图,允许创建各种风格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信