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Partial Similarity of 3D Shapes Using Cross Recurrence Plot

机译:使用交叉递归图的3D形状的局部相似性

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This paper presents a novel 3D partial shape retrieval algorithm based on time-series analysis. Given a piece of a 3D shape, the proposed method encodes the shape descriptor given by the Heat Kernel Signature (HKS) as a time-series, where the time is considered an ordered sequence of vertices provided by the Fiedler vector. Finally, a similarity metric is created using a well-known tool in time-series analysis called Cross Recurrence Plot (CRP). The good performance of our method is also attested in a large collection of shape models.
机译:本文提出了一种基于时间序列分析的新颖的3D部分形状检索算法。给定一个3D形状,该方法将热核签名(HKS)给出的形状描述符编码为时间序列,其中时间被认为是Fiedler向量提供的顶点的有序序列。最后,在时序分析中使用众所周知的工具(称为交叉重复图(CRP))创建相似性度量。大量的形状模型也证明了我们方法的良好性能。

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