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首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >Reconstruction of partially damaged face images based on a morphable face model
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Reconstruction of partially damaged face images based on a morphable face model

机译:基于可变形人脸模型的部分受损人脸图像重建

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摘要

This paper proposes a method for reconstructing partially damaged faces based on a morphable face model. Faces are modeled by linear combinations of prototypes of shape and texture. With the shape and texture information from an undamaged region only, we can estimate optimal coefficients for linear combinations of prototypes of shape and texture by simple projection for least-square minimization (LSM). Our experimental results show that reconstructed faces are very natural and plausible like real photos.
机译:提出了一种基于可变形人脸模型的局部受损人脸重建方法。通过形状和纹理原型的线性组合来建模面孔。仅使用来自未损坏区域的形状和纹理信息,我们可以通过最小二乘最小化(LSM)的简单投影来估计形状和纹理原型的线性组合的最佳系数。我们的实验结果表明,重建的面孔像真实照片一样非常自然和合理。

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