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Generation of 3D Caricature by Fusing Caricature Images

机译:通过融合漫画形象的3D讽刺创造

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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.
机译:漫画夸张,卡通般的肖像,试图用一些幽默或讽刺捕捉主题的本质。在本文中,我们通过结合主动外观模型来延长先前开发的自动漫画生成算法:1)通过结合主动外观模型来改善面部特征检测程序,并通过融合漫画图像来将原始的2D模型扩展到立体声不同的看法。结果是一种简单而有效的过程,用于在选择艺术风味时具有高度灵活性的程式化的3D模型。

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