Sparse Shape Representation using the Laplace-Beltrami Eigenfunctions and Its Application to Modeling Subcortical Structures

We present a new sparse shape modeling framework on the Laplace-Beltrami (LB) eigenfunctions. Traditionally, the LB-eigenfunctions are used as a basis for intrinsically representing surface shapes by forming a Fourier series expansion. To reduce high frequency noise, only the first few terms are use...

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Bibliographic Details
Main Authors: Kim, Seung-Goo, Chung, Moo K., Schaefer, Stacey M., van Reekum, Carien, Davidson, Richard J.
Format: Artigo
Language:Inglês
Published: 2012
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3684562/
https://ncbi.nlm.nih.gov/pubmed/23783079
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/MMBIA.2012.6164736
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