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3D Normalization Based on the Barycentric Coordinates

机译:基于重心坐标的3D归一化

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—The most common technique in the normalization of 3D objects is the Principal Component Analysis (PCA). However, it is well known that the principal axes generated by the PCA may be different for similar shapes. To overcome the limitations of the PCA we propose in this paper a normalization method to give robustness to remeshing, rotations and reflections of meshed 3D objects. This method is based on the integration of the mesh volume, the use of barycentric coordinates and the CPCA (Continuous Principal Component Analysis).
机译:— 3D对象标准化中最常用的技术是主成分分析(PCA)。但是,众所周知,对于相似的形状,由PCA生成的主轴可能不同。为了克服PCA的局限性,我们在本文中提出了一种归一化方法,以使网格3D对象的重新网格化,旋转和反射具有鲁棒性。该方法基于网格体积的集成,重心坐标的使用和CPCA(连续主成分分析)。

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