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.
['Xingyu Gao', 'Yiqiang Chen', 'Junfa Liu', 'Jingye Zhou']
Personalized 3D Caricature Generation Based on PCA Subspace