三维人脸图像特征点的检测及其在三维人脸漫画中的应用

Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062) Pub Date : 1999-10-04 DOI:10.1109/IM.1999.805381

T. Fujiwara, Takeshi Nishihara, M. Tominaga, H. Koshimizu, K. Kato, K. Murakami

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引用次数: 20

摘要

提出了一种从三维人脸图像中自动提取27个特征点的方法。实验还表明，使用少量的特征点就可以实现三维人脸漫画，并且可以自动提取这27个特征点。因此，通过将3D毕加索系统的3D漫画与著名漫画家吉田先生的3D漫画进行比较，可以清楚地表明，面部图像的3D特征可以用来生成比2D版本更令人印象深刻的面部漫画。

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On the detection of feature points of 3D facial image and its application to 3D facial caricature

The paper proposes an automated method for extracting 27 feature points from a 3D facial image. It also shows that 3D facial caricaturing can be realized by such a small number of feature points and that these 27 feature points can be extracted automatically. As a result, it was clarified by comparing a 3D caricature of a 3D PICASSO system with that of a famous caricaturist, Mr. Yoshida, that 3D features of the facial image could be utilized to generate a more impressive facial caricature than the 2D version.

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来源期刊

Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)

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