Semi-Automatic Creation of an Anime-Like 3D Face Model from a Single Illustration

T. Niki, T. Komuro
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引用次数: 4

Abstract

In this paper, we propose a method for semi-automatically creating an anime-like 3D face model from a single illustration. In the proposed method, principal component analysis (PCA) is applied to existing anime-like 3D models to obtain base models for generating natural 3D models. To align the dimensions of the data and make geometric correspondence, a template model is deformed using a modified Nonrigid Iterative Closest Point (NICP) method. Then, the coefficients of the linear combination of the base models are estimated by minimizing the difference between the rendered image of the 3D model with the coefficients and the input illustration using edge-based matching. We confirmed that our method was able to generate a natural anime-like 3D face models which has similar eye and face shapes to those of the input illustration.
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从单个插图半自动创建一个类似动画的3D面部模型
在本文中,我们提出了一种从单个插图半自动创建类似动画的3D人脸模型的方法。该方法将主成分分析(PCA)应用于已有的类动画三维模型,获得生成自然三维模型的基础模型。采用改进的非刚性迭代最近点(NICP)方法对模板模型进行变形,使数据的尺寸对齐并使其几何对应。然后,利用基于边缘的匹配,通过最小化带有系数的三维模型渲染图像与输入插图之间的差异来估计基本模型线性组合的系数。我们证实,我们的方法能够生成一个自然的类似动画的3D面部模型,其眼睛和面部形状与输入插图相似。
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