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Head Modeling from Pictures and Morphing in 3D with Image Metamorphosis Based on Triangulation

机译:基于三角剖分的具有图像变形的3D图像头部建模和变形

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This paper describes a combined method of facial reconstruction and morphing between two heads, showing the extensive usage of feature points detected from pictures. We first present an efficient method to generate a 3D head for animation from picture data and then a simple method to do 3D-shape interpolation and 2D morphing based on triangulation. The basic idea is to generate an individualized head modified from a generic model using orthogonal picture input, then process automatic texture mapping with texture image generation by combining orthogonal pictures and coordinate generation by projection from a resulted head in front, right and left views, which results a nice triangulation on texture image. Then an intermediate shape can be obtained from interpolation between two different persons. The morphing between 2D images is processed by generating an intermediate image and new texture coordinate. Texture coordinates are interpolated linearly, and the texture image is created using Barycentric coordinates for each pixel in each triangle given from a 3D head. Various experiments, with different ratio between shape, images and various expressions, are illustrated.
机译:本文介绍了两个头部之间的面部重构和变形的组合方法,显示了从图片中检测到的特征点的广泛使用。我们首先提出一种有效的方法,该方法可以从图片数据生成用于动画的3D头部,然后提供一种基于三角剖分进行3D形状插值和2D变形的简单方法。基本思想是使用正交图片输入生成从通用模型修改的个性化头像,然后通过将正交图片组合在一起并通过从生成的头像在前,右和左视图中进行投影来生成坐标来处理带有纹理图片生成的自动纹理映射,在纹理图像上产生良好的三角剖分。然后可以从两个不同的人之间的插值获得中间形状。通过生成中间图像和新的纹理坐标来处理2D图像之间的变形。对纹理坐标进行线性插值,并使用重心坐标为3D头给出的每个三角形中的每个像素创建纹理图像。说明了各种实验,形状,图像和各种表情之间的比率不同。

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