Shape classification using spectral graph wavelets-Reference-Cited by-同舟云学术

Shape classification using spectral graph wavelets

Published:2017-06-09 Issue:4 Volume:47 Page:1256-1269
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Masoumi Majid,Hamza A. Ben

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-017-0955-7/fulltext.html

Reference26 articles.

1. Rosenberg S (1997) The Laplacian on a Riemannian manifold. Cambridge University Press

2. Lévy B, eigenfunctions Laplace-Beltrami (2006) Towards an algorithm that understands geometry Proceedings of the IEEE international conference on shape modeling and applications, p 13

3. Reuter M, Wolter F, Peinecke N (2006) Laplace-beltrami spectra as ‘shape-DNA’ of surfaces and solids. Comput Aided Des 38(4):342–366

4. Rustamov R (2007) Laplace-beltrami eigenfunctions for deformation invariant shape representation Proceedings of the symposium geometry processing, pp 225–233

5. Bronstein A, Bronstein M, Guibas L, Ovsjanikov M (2011) Shape google: geometric words and expressions for invariant shape retrieval. ACM Trans Graphics 30(1)

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