Automatic Generation of 3D Caricatures Based on Artistic Deformation Styles.

Automatic Generation of 3D Caricatures Based on Artistic Deformation Styles.
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基于艺术变形风格的3D漫画自动生成。

DOI:
10.1109/tvcg.2010.76
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发表时间:
2011
影响因子:
5.2
通讯作者:
Clarke L
Clarke L
中科院分区:
计算机科学1区
文献类型:
--
作者:
Clarke L

文献摘要

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漫画是一种幽默的视觉艺术,通常由熟练的艺术家出于娱乐和娱乐的目的而创作。本文提出了一种从人脸照片中自动生成数字漫画的新方法,该方法从手绘漫画中捕捉艺术变形风格。我们引入了一个伪应力-应变模型来编码一种艺术变形风格的参数,该模型使用“虚拟的”物理和材料属性。我们还开发了一个在3D中执行漫画化变形的软件系统,该系统消除了2D漫画化中的不良伪影。我们使用多级自由变形(MFFD)技术来优化从输入的人脸照片重建的3D头部模型,并用于控制讽刺变形。我们的结果证明了该方法的有效性和可用性,该方法允许普通用户将捕获和存储的变形样式应用于各种面部照片。
Caricatures are a form of humorous visual art, usually created by skilled artists for the intention of amusement and entertainment. In this paper, we present a novel approach for automatic generation of digital caricatures from facial photographs, which capture artistic deformation styles from hand-drawn caricatures. We introduced a pseudo stress-strain model to encode the parameters of an artistic deformation style using “virtual” physical and material properties. We have also developed a software system for performing the caricaturistic deformation in 3D which eliminates the undesirable artifacts in 2D caricaturization. We employed a Multilevel Free-Form Deformation (MFFD) technique to optimize a 3D head model reconstructed from an input facial photograph, and for controlling the caricaturistic deformation. Our results demonstrated the effectiveness and usability of the proposed approach, which allows ordinary users to apply the captured and stored deformation styles to a variety of facial photographs.