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In this paper, we present a spectral graph wavelet approach for shapeanalysis of carpal bones of human wrist. We apply a metric called globalspectral graph wavelet signature for representation of cortical surface of thecarpal bone based on eigensystem of Laplace-Beltrami operator. Furthermore, wepropose a heuristic and efficient way of aggregating local descriptors of acarpal bone surface to global descriptor. The resultant global descriptor isnot only isometric invariant, but also much more efficient and requires lessmemory storage. We perform experiments on shape of the carpal bones of tenwomen and ten men from a publicly-available database. Experimental results showthe excellency of the proposed GSGW compared to recent proposed GPS embeddingapproach for comparing shapes of the carpal bones across populations.

Global spectral graph wavelet signature for surface analysis of carpal bones