用于腕骨表面分析的全局谱图小波特征
Global spectral graph wavelet signature for surface analysis of carpal bones
摘要：
本文提出了一种基于谱图小波的腕骨形状分析方法。我们应用一个度量称为全球谱图小波签名表示的皮质表面的腕骨Laplace-Beltrami算子的特征系统的基础上。此外，我们提出了一种启发式和有效的方法来聚合局部描述符的腕骨表面的全局描述符。所得到的全局描述符不仅是等距不变的，但也更有效，需要更少的内存存储。我们从公开的数据库中对10名女性和10名男性的腕骨形状进行实验。实验结果表明，与最近提出的GPS嵌入方法相比，所提出的GSGW具有更好的性能，可以用于比较不同人群的腕骨形状。
英文摘要：
In this paper, we present a spectral graph wavelet approach for shape analysis of carpal bones of human wrist. We apply a metric called global spectral graph wavelet signature for representation of cortical surface of the carpal bone based on eigensystem of Laplace-Beltrami operator. Furthermore, we propose a heuristic and efficient way of aggregating local descriptors of a carpal bone surface to global descriptor. The resultant global descriptor is not only isometric invariant, but also much more efficient and requires less memory storage. We perform experiments on shape of the carpal bones of ten women and ten men from a publicly-available database. Experimental results show the excellency of the proposed GSGW compared to recent proposed GPS embedding approach for comparing shapes of the carpal bones across populations.
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