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Photo Realistic 3D Cartoon Face Modeling Based on Active Shape Model

机译:基于主动形状模型的照片逼真的3D卡通人脸建模

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摘要

We present a novel framework to automatically build 3D carton face model from a single frontal face image. We use the improved ASM algorithm to automatically detect the deformed key feature control points in the face image. The deformation of the control points is compared to that of a standard (average) face, and exaggerated based on face shape and the type of organs and their pitch. RBF-based smooth interpolation is used to generate a 3D model from the exaggerated control points. The resulting 3D human face model not only preserves the identity of the subject in the photo, but also looks cartoonish with exaggerated facial features. Experiments with a large number of real photographs show that our framework is feasible.
机译:我们提出了一个新颖的框架,可以从一个正面图像自动构建3D纸箱面部模型。我们使用改进的ASM算法来自动检测面部图像中变形的关键特征控制点。将控制点的变形与标准(平均)脸的变形进行比较,并根据脸部形状,器官类型及其音高将其放大。基于RBF的平滑插值用于从夸大的控制点生成3D模型。生成的3D人脸模型不仅保留了照片中对象的身份,而且看起来还带有夸张的面部特征的卡通风格。通过大量真实照片的实验表明,我们的框架是可行的。

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