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3D Face Alignment Without Correspondences

机译:3d脸部对齐没有通信

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A novel correspondence-less approach is proposed to find a thin plate spline map between a pair of 3D human faces represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is simply found by solving a system of nonlinear equations. Each equation is generated by integrating a non-linear function over the surfaces represented as fuzzy sets of triangles. We derive approximating formulas for the efficient computation of these integrals. Based on a series of comparative tests on a standard 3D face dataset, our triangular mesh-based algorithm outperforms state of the art methods in terms of computing time while maintaining accuracy.
机译:提出了一种新的对应方法,用于在三角形表面网格表示的一对3D人面之间找到​​薄板样条图。所提出的方法没有地标提取和特征对应关系。通过求解非线性方程系统简单地发现对准变换。通过将非线性函数集成在表示为三角形的模糊组的表面上,产生每个等式。我们推出了近似公式,以便有效地计算这些积分。基于标准3D面部数据集的一系列比较试验,我们的三角网基算法在计算时间而保持精度的计算时间方面优于现有技术的状态。

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