| Literature DB >> 21339849 |
Rongjie Lai1, Yonggang Shi, Ivo Dinov, Tony F Chan, Arthur W Toga.
Abstract
In this paper we develop a new approach of analyzing 3D shapes based on the eigen-system of the Laplace-Beltrami operator. While the eigenvalues of the Laplace-Beltrami operator have been used previously in shape analysis, they are unable to differentiate isospectral shapes. To overcome this limitation, we propose here a new signature based on nodal counts of the eigenfunctions. This signature provides a compact representation of the geometric information that is missing in the eigenvalues. In our experiments, we demonstrate that the proposed signature can successfully classify anatomical shapes with similar eigenvalues.Entities:
Year: 2009 PMID: 21339849 PMCID: PMC3041982 DOI: 10.1109/ISBI.2009.5193142
Source DB: PubMed Journal: Proc IEEE Int Symp Biomed Imaging ISSN: 1945-7928