Colored exaggerative caricature creation using inter- and intra-correlations of feature shapes and positions
Colored exaggerative caricature creation using inter- and intra-correlations of feature shapes and positions
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DOI：
10.1016/j.imavis.2011.11.006
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Chien-Chung Tseng;J. Lien
中科院分区：
文献类型：
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作者：
Chien-Chung Tseng;J. Lien
本文开发了一个由基于统计的夸张（SBE）模块和非真实感渲染（NPR）模块组成的系统，用于自动创建具有夸张面部特征和个人面部细节（如胡须和痣）的彩色面部漫画。与以往的研究不同，SBE模块侧重于相互相关性（输入图像的面部特征与训练数据库中平均面部特征之间的差异），该模块利用基于面部特征之间和内部相关性的迭代方法对输入图像进行夸大。本研究考虑的内相关性是在同一输入图像内与其他特征进行比较，具有夸大主要面部特征的同时抑制非主要面部特征视觉冲击的作用。NPR模块由黑白素描创作过程和彩色面部卡通创作过程组成。将这两个过程的结果结合起来生成彩色卡通样草图，然后根据SBE模块创建的相应夸张形状和位置将其扭曲成彩色夸张面部漫画。实验结果表明，该方法比以往只考虑特征相互关系的方法更能突出人脸的主要特征。
This paper develops a system comprising a statistics-based exaggerative (SBE) module and a non-photorealistic rendering (NPR) module for the automatic creation of colored facial caricatures with exaggerated facial features and individual facial details such as beards and moles. Unlike previous research that focused on the inter-correlation (the difference between the facial features of input image and those of the mean face in the training database), the SBE module exaggerates the input image utilizing an iterative approach based on both inter- and intra-correlations of the facial features. The intra-correlation considered in this study makes the comparison with other features within the same input image, and has the effect of exaggerating the major facial features while simultaneously subduing the visual impact of non-major facial features. The NPR module consists of a black-and-white sketch creation process and a colored facial cartoon creation process. The results of the two processes are combined to generate a colored cartoon-like sketch, which is then warped into a colored exaggerative facial caricature based on the corresponding exaggerative shape and position created by the SBE module. The experimental results demonstrate that the proposed method can emphasize the major characteristics of a face better than previous methods that only considered feature inter-correlation.