首页> 外文会议>International conference on opto-electronics engineering and information science >Caricature Generation Based on SVM and Facial Feature Exaggeration
【24h】

Caricature Generation Based on SVM and Facial Feature Exaggeration

机译:基于SVM和面部特征夸张的漫画生成

获取原文

摘要

Caricature is a method to show makeable facial features by exaggeration and deformation. Though sample based learning method can capture caricaturists' style and get well caricature effect,obtaining cartoon sample database of various styles is very difficult. So this paper proposes a new caricature generating algorithm. This algorithm classifies face by the shape of face first,dial is il needs oniy a few lace sanipics,ami extracts major feaiuics or facial shape by ASM, then obtains SVMfacial shape classifier by training these features to identify facial shape. Secondly,obtain partial feature differences of object face and standard face. Finally,exaggerative deformations on facial type and partial features are carried out with a circle areabased deformation algorithm,and then obtain final cartoon face by facial illustration processing on exaggerated face. The result of this algorithm is evaluated by questionnaire investigating,and the result is satisfied.
机译:漫画是一种通过夸大和变形来显示可扩展的面部特征的方法。虽然基于样本的学习方法可以捕捉漫画家风格并获得良好的漫画效果,但获得各种款式的卡通样本数据库非常困难。所以本文提出了一种新的漫画生成算法。该算法通过面部的形状分类面部,拨号是IL需要ONIY几个蕾丝Sanipics,AMI通过ASM提取主要的FEAIUIC或面部形状,然后通过训练这些特征来获得SVMFacial形状分类器来识别面部形状。其次,获得物体面和标准面的部分特征差异。最后,用圆形面积的变形算法进行面部类型和部分特征的夸张变形,然后通过夸张的面部的面部插图处理获得最终卡通面。通过调查问卷调查评估该算法的结果,并满足结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号