Template-Based Portrait Caricature Generation with Facial Components Analysis

摘要：

This paper presents a template-based facial caricature generation approach. Since the major difficulty in generating facial caricature automatically is the uniqueness of individuals and the polymorphism of features, a modified Active Shape Model (ASM) is first designed to locate key feature points accurately by using 2D local grey-level structures. Then, extracted facial components are classified into low-accuracy ones and high-accuracy ones according to their fitting accuracy and are processed respectively. Hierarchical clustering combined with the template-based method is employed for low-accuracy components to bridge the gap between the accuracy provided by feature localization and that required by caricature generation. Experimental results illustrate the effectiveness of the presented approach.

关键词： active shape model normalized cross-correlation hierarchical clustering template-based caricature generation

作者: Wei Gao Rui Mo Lei Wei Yi Zhu Zhenyun Peng Yaohui Zhang Wei Gao Lei Wei

作者单位: Suzhou Institute of Nano-tech and Nano-bionics CAS Suzhou,China Institute of Semiconductors Graduate School of the Chinese Academy of Sciences CAS Beijing,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2748-2752

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）