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一种用于交互式发型生成的统计细发模型和伪物理方法。

A statistical wisp model and pseudophysical approaches for interactive hairstyle generation.

作者信息

Choe Byoungwon, Ko Hyeong-Seok

机构信息

School of Electrical Engineering and Computer Science, Seoul National University, Gwanak-gu, Seoul, 151-742, Korea.

出版信息

IEEE Trans Vis Comput Graph. 2005 Mar-Apr;11(2):160-70. doi: 10.1109/TVCG.2005.20.

Abstract

This paper presents an interactive technique that produces static hairstyles by generating individual hair strands of the desired shape and color, subject to the presence of gravity and collisions. A variety of hairstyles can be generated by adjusting the wisp parameters, while the deformation is solved efficiently, accounting for the effects of gravity and collisions. Wisps are generated employing statistical approaches. As for hair deformation, we propose a method which is based on physical simulation concepts, but is simplified to efficiently solve the static shape of hair. On top of the statistical wisp model and the deformation solver, a constraint-based styler is proposed to model artificial features that oppose the natural flow of hair under gravity and hair elasticity, such as a hairpin. Our technique spans a wider range of human hairstyles than previously proposed methods and the styles generated by this technique are fairly realistic.

摘要

本文提出了一种交互式技术,该技术通过生成具有所需形状和颜色的单根发丝来产生静态发型,同时考虑重力和碰撞的影响。通过调整发丝参数可以生成各种发型,并且在考虑重力和碰撞影响的情况下高效地解决了变形问题。采用统计方法生成发丝。至于头发变形,我们提出了一种基于物理模拟概念的方法,但进行了简化以有效地求解头发的静态形状。在统计发丝模型和变形求解器之上,提出了一种基于约束的造型器,以模拟在重力和头发弹性作用下与头发自然流动相反的人工特征,例如发夹。我们的技术涵盖了比以前提出的方法更广泛的人类发型,并且该技术生成的发型相当逼真。

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