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Hybrid Method and System for Content-based 3D Model Search

机译:基于内容的3D模型搜索的混合方法和系统

摘要

The present disclosure concerns a hybrid content-based 3D model search and retrieval method for queries in generic 3D model datasets. The hybrid nature of the method is two-fold. First, a combination of 2D and 3D features is used as the shape descriptor of a 3D model and second, two alternative alignment techniques, CPCA and NPCA, are employed for rotation normalization. The 2D features are Fourier coefficients extracted from three pairs of depth buffers which are computed for each Cartesian plane capturing the model's thickness along each axis. The 3D features are spherical harmonic coefficients extracted from a spherical function based representation that captures the model's surface as well as volume information.
机译:本公开涉及用于通用3D模型数据集中的查询的基于混合内容的基于3D模型的搜索和检索方法。该方法的混合性质是双重的。首先,将2D和3D特征的组合用作3D模型的形状描述符,其次,将两种替代对齐技术CPCA和NPCA用于旋转归一化。 2D特征是从三对深度缓冲区中提取的傅里叶系数,这些深度缓冲区是为每个沿模型坐标轴捕获模型厚度的笛卡尔平面计算的。 3D特征是从基于球形函数的表示中提取的球形谐波系数,该表示捕获了模型的表面以及体积信息。

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