Example-Based Automatic Caricature Generation
Example-Based Automatic Caricature Generation
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DOI：
10.1109/cw.2014.40
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发表时间：
2014-10
期刊：
影响因子：
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通讯作者：
Wei Yang;Kouki Tajima;Jiayi Xu;M. Toyoura;Xiaoyang Mao
中科院分区：
文献类型：
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作者：
Wei Yang;Kouki Tajima;Jiayi Xu;M. Toyoura;Xiaoyang Mao
漫画是一种流行的艺术媒体，广泛用于有效的交流。漫画的魅力在于它对人的突出特征的富有表现力的描绘，这通常是通过所谓的夸张技巧来实现的。提出了一种新的基于实例的漫画自动生成系统，支持视觉外观特征的夸张。该系统包括学习数据库的构建和漫画的生成。学习数据库的构建将面部图像和相应的漫画对链接在一起。在给定输入人脸的情况下，系统自动计算面部部位和发型的特征向量，并利用最显著的特征在学习数据库中搜索夸张的部位。实验结果表明，我们的系统能够实现对夸张程度的控制，并且夸张的结果能够更好地代表主题的特征。
Caricature is a popular artistic media widely used for effective communications. The fascination of caricature lies in its expressive depiction of a person's prominent features, which is usually realized through the so called exaggeration technique. This paper proposes a new example based automatic caricature generation system supporting the exaggeration of visual appearance features. The system comprises the construction of a learning database and the generation of caricatures. The construction of the learning database links the pairs of facial images and corresponding caricatures. Given an input face, the system automatically compute the feature vectors of facial parts and hairstyle, and search the learning database for the exaggerated parts by using the most prominent features. Experimental results show that our system can achieve the control over the degree of exaggeration and the exaggerated results can better represent the features of the subjects.