Generation of 3D Caricature by Fusing Caricature Images
Generation of 3D Caricature by Fusing Caricature Images
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DOI：
10.1109/icsmc.2006.384498
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发表时间：
2006-10
期刊：
影响因子：
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通讯作者：
Yu-Lun Chen;W. Liao;P. Chiang
中科院分区：
文献类型：
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作者：
Yu-Lun Chen;W. Liao;P. Chiang
漫画是夸张的、类似卡通的肖像，试图用一点幽默或讽刺来捕捉主题的本质。在本文中，我们在两个重要方面扩展了先前开发的自动漫画生成算法：1）我们通过合并主动外观模型改进了面部特征检测程序，2）我们通过融合从不同视图获得的漫画图像将原始2D模型扩展到立体。其结果是一个简单而有效的过程，用于创建风格化的 3D 模型，并且在选择艺术风格方面具有高度的灵活性。
Caricatures are exaggerated, cartoon-like portraits that try to capture the essence of the subject with a bit of humor or sarcasm. In this paper, we extend the automatic caricature generation algorithm developed previously in two important aspects: 1) we improve the facial feature detection procedure by incorporating active appearance models, and 2) we extend the original 2D model to stereo by fusing caricature images obtained from different views. The result is a simple yet effective procedure for creating stylized 3D models with a high degree of flexibility in selecting artistic flavors.