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利用人脸特征及其关系的漫画夸张与合成 被引量：4

Caricature Synthesis and Exaggeration Based on Facial Features and their Relationship
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摘要 在人脸漫画中,人脸特征(脸型以及五官)形状的夸张与特征之间关系的夸张是存在差异的,而目前由计算机生成的人脸漫画算法中并未考虑这一点,为此提出一种漫画夸张与合成方法.该方法由基于样本的特征的形状夸张、基于规则的特征之间的关系夸张以及两者之间的合成3部分组成.在人脸特征的形状夸张部分不需要大量的样本库,只通过少量的漫画样本便可以捕捉形状的夸张;在人脸特征之间的关系夸张部分,引入了直观的"T型规则"方式描述人脸特征在夸张时的相互关系;在人脸形状夸张与关系夸张两者的合成部分,采用"比例"的形式来描述人脸特征以及特征之间的关系,使得夸张后可以方便地进行两者的合成.最后采用调查问卷的方式评测该方法生成的漫画效果,结果表明其效果良好. The difference between shape exaggeration and relationship exaggeration of face features has been seldom considered in existing algorithms of caricature generation.A new method for caricature exaggeration and synthesis is proposed in the paper,covering shape exaggeration,relationship exaggeration and global synthesis.Rather than relying on a large training set of caricature face pairs,the shape exaggeration step is based only on several caricature examples to capture the shape exaggeration.T-Shape rule is introduced in the relationship exaggeration step,to describe the relative relationship between the facial elements in an intuitive manner.A description method is introduced in the synthesis step,in characterizing the facial features in a proportion form.Besides,an anonymous questionnaire survey has been undertaken to evaluate the generated caricature with this method.The results show the effectiveness of the method.
作者 陈文娟 石民勇 孙庆杰
机构地区 中国传媒大学动画学院
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2010年第1期121-128,共8页 Journal of Computer-Aided Design & Computer Graphics
基金 广电总局重大项目(2007-07)
关键词 基于样本的学习 T型规则 漫画 夸张 example-based learning T-shape rule caricature exaggeration
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献19

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二级参考文献16

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共引文献18

同被引文献31

  • 1阎芳,费广正,柳婷婷,马文慧,石民勇.漫画风格的人脸肖像生成算法[J].计算机辅助设计与图形学学报,2007,19(4):442-447. 被引量：8
  • 2Iwashita S, Onisawa T. A study on facial caricature drawing by fuzzy theory[C]//IEEE International Con- ference on Fuzzy Systems. Spain, Barcelona: IEEE, 1997:933-938.
  • 3Chiang Peiying, Liao Wenhung, Li Tsaiyen. Automatic caricature generation by analyzing facial features[C]// Asia Conference on Computer Vision. Jeju Island,Kore- a: ACCV, 2004 : 89-94.
  • 4Brennan S. Caricature generator:The dynamic exaggera- tion of faces by computer[J]. Leonardo, 1985,18 (3) : 170-178.
  • 5Akleman E. Making caricature with morphing [C]// SIGGRAPH' 1997. Los Angeles, USA: ACM, 1997: 145-145.
  • 6Lai K,Chung P,Edirisinghe E. Novel approach to neural network based caricature generation[C]//IET Interna- tional Conference. Bangalore, India.. VIE, 2006 : 88-93.
  • 7Dal U,Dal D,Abraham S. A facial caricature generation system using an adaptive thresholding[C]//World Con- gress on Information and Communication Technologies. Mumbai, India:WICT,2011 : 682-687.
  • 8Gao Wei, Mo Rui, Wei Lei, et al. Template-based por- trait caricature generation with facial components analy- sis[C]//IEEE International Conference on Intelligent Computing and Intelligent Systems. Shanghai: IEEE, 2009:219-223.
  • 9Chen Hong, Xu Yingqing, Shum Heungyeung, et al. Exampie-based facial sketch generation with non-parametric sam- pling[C]//IEEE International Conference on Computer Vi- sion. Vancouver, Canada: IEEE, 2001 : 433-438.
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引证文献4

二级引证文献5

计算机辅助设计与图形学学报
2010年 第1期

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