This paper presents a registration-free method based on geometry spectrum for mapping two shapes. Our method can quantify and visualize the surface deformation by the variation of Laplace-Beltrami spectrum of the object. In order to examine our method,we employ synthetic data that has non-isometric deformation. We have also applied our method to quantifying the shape variation between the left and right hippocampus in epileptic human brains. The results on both synthetic and real patient data demonstrate the effectiveness and accuracy of our method.
CITATION STYLE
Hamidian, H., Hu, J., Zhong, Z., & Hua, J. (2016). Quantifying shape deformations by variation of geometric spectrum. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9902 LNCS, pp. 150–157). Springer Verlag. https://doi.org/10.1007/978-3-319-46726-9_18
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