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作 者:Lesley ISTEAD Joe ISTEAD Andreea POCOL Craig S.KAPLAN
机构地区:[1]School of Information Technology,Carleton University,Ottawa,Ontario,Canada [2]School of Computer Science,University of Waterloo,Waterloo,Ontario,Canada
出 处:《Virtual Reality & Intelligent Hardware》2022年第5期381-392,共12页虚拟现实与智能硬件(中英文)
基 金:Supported by Natural Sciences and Engineering Research Council of Canada。
摘 要: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.
关 键 词:Gesture drawing SKETCHING Non-photorealistic rendering
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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