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首页> 外文期刊>Journal of visual communication & image representation >Rapid 3D face reconstruction by fusion of SFS and Local Morphable Model
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Rapid 3D face reconstruction by fusion of SFS and Local Morphable Model

机译：通过融合SFS和局部可变形模型进行快速3D人脸重建

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摘要

Various modeling methodologies have been proposed to model the human face realistically. However, despite the fact that these methods can give high-quality results, the time, cost, and labor required to generate such models by these methods are often high. In this paper, we propose an integrated modeling approach combining Shape-From-Shading (SFS) and Local Morphable Model (LMM), which can rapidly create a realistic 3D face model on the basis of a single 2D image rapidly. This method obtains 3D contour face quickly by SFS firstly; then, recovers local accurate 3D data by LMM; lastly, reconstructs a 3D face model of high-accuracy by carrying out interpolation smoothing on the 3D contour face with local 3D accurate data. Experimental results show that this method has the advantages of modeling with higher accuracy and lower complexity, and can reconstruct personalized 3D face model from a single real-world photo in a short time.
机译：已经提出了各种建模方法来对人脸进行逼真的建模。但是，尽管这些方法可以提供高质量的结果，但是通过这些方法生成此类模型所需的时间，成本和人工通常很高。在本文中，我们提出了一种集成的建模方法，该方法结合了“从形状着色”（SFS）和“局部可变形模型”（LMM），可以在单个2D图像的基础上快速创建逼真的3D人脸模型。该方法首先通过SFS快速获得3D轮廓面。然后，通过LMM恢复本地准确的3D数据；最后，通过利用局部3D精确数据对3D轮廓面进行插值平滑，重建了高精度的3D人脸模型。实验结果表明，该方法具有建模精度高，复杂度低的优点，可以在短时间内从一张真实照片中重建个性化的3D人脸模型。

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