Personalized 3D Caricature Generation Based on PCA Subspace

Authors:
Xingyu Gao;Yiqiang Chen;Junfa Liu;Jingye Zhou
Affiliations:
College of Information Engineering, Xiangtan University, Xiangtan, China 411105 and Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190;College of Information Engineering, Xiangtan University, Xiangtan, China 411105
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

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Abstract

3D caricature generation is becoming a more interesting and challenging research topic. This paper presents personalized 3D caricature generation using PCA (Principal Component Analysis) for each 3D caricature component. First, we construct a 3D caricature dataset manually, and then we construct 3D caricature components datasets according to the defined attribute for each component. Next, PCA is employed to create each subspace for each 3D caricature component, and diverse vivid caricature component is generated by interactive mode. Finally, the generated caricature components are combined into 3D caricature based on the 3D true face. Our approach is very convenient and efficient to generate different kinds of 3D caricature by personalized thought, for example, a user just needs to drag the sliders for each principal component of the 3D caricature component.