系统仿真学报 ›› 2015, Vol. 27 ›› Issue (4): 682-688.

• 建模与仿真理论及方法 • 上一篇    下一篇

基于人像字典集的卡通自动生成方法

孙晶晶1, 于佳骏2, 李贝1, 谢志峰1, 丁友东1   

  1. 1.上海大学影视艺术技术学院, 上海 200072;
    2.上海大学计算机工程与科学学院, 上海 200072
  • 收稿日期:2013-12-19 修回日期:2014-05-13 发布日期:2020-08-20
  • 作者简介:孙晶晶(1988-),女,山东淄博人,硕士,研究方向为数字图像处理等;于佳骏(1991-),男,江苏吴江人,硕士,研究方向为计算机图形图像等;李贝(1989-),女,湖南长沙人,硕士,研究方向为图像克隆等;谢志峰(1982-),男,江苏如东人,博士,讲师,研究方向为计算机图形图像等;丁友东(1967-),男,福建上杭人,博士,教授,博导,研究方向为计算机图形学、多媒体展示技术等。
  • 基金资助:
    国家自然科学基金项目(61303093);上海市科委科技攻关项目(13511505002);上海市教育委员会科研创新项目(14YZ023)

Method for Auto-generating Cartoon Based on A Set of Portrait Dictionary

Sun Jingjing1, Yu Jiajun2, Li Bei1, Xie Zhifeng1, Ding Youdong1   

  1. 1. School of Film and TV Arts and Technology, Shanghai University, Shanghai 200072, China;
    2. School of Engineering and Computer Science, Shanghai University, Shanghai 200072, China
  • Received:2013-12-19 Revised:2014-05-13 Published:2020-08-20

摘要: 提出了基于人像字典集的卡通自动生成方法。建立人像字典集。将人像分割为6种组件——眉毛、眼睛、鼻子、嘴巴、脸型、头发,建立与每种组件对应的卡通画素材库,搜集真实人像图片并用组件素材合成相应的卡通画,并计算五官形状特征和头发纹理特征;输入一幅真实人像,通过形状特征匹配得到五官组件,利用纹理特征匹配得到发型,将组件合成得到卡通画。我们的方法简单易行,生成的效果更抽象更具艺术感,还可以应用到其他类型人像风格化上。

关键词: 卡通, 自动生成, 组件, 特征匹配

Abstract: An efficient method of auto-generating portrait cartoon based on true portrait pictures was proposed. The first step was to establish a set of portrait dictionary. As a result, the portrait was divided into six components including eyebrows, eyes, nose, mouth, face, hair, so that the material library of cartoon corresponding to each component could be established. The next was to collect some real portrait images and synthesize them using the component material, meanwhile to calculate the facial shape features and the texture features of hair corresponding to each portrait. The second step was to input a real portrait image and auto-generate the corresponding cartoon. In this method, facial components were selected by the matching of shape features, similarly the component of hair was got by the matching of texture features. The method is not only simple with more abstract and more artistic result, but also can be applied to other types of portrait style.

Key words: cartoon, auto-generating, component, feature matching

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