STAR - Laplacian Spectral Kernels and Distances for Geometry Processing and Shape Analysis

In geometry processing and shape analysis, several applications have been addressed through the properties of the spectral kernels and distances, such as commute‐time, biharmonic, diffusion, and wave distances. Our survey is intended to provide a background on the properties, discretization, computa...

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Bibliographic Details
Published in:	Computer graphics forum Vol. 35; no. 2; pp. 599 - 624
Main Author:	Patane, Giuseppe
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.05.2016
Subjects:	Analysis and object representations Categories and Subject Descriptors (according to ACM CCS) Computation Computer graphics Differential equations Diffusion diffusion geometry Eigenvalues harmonic equation heat equation I.3.3 [Numerical Analysis]: Approximation/Image Generation-Special function approximations I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling/Curve I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling/Curve, surface, solid, and object representations I.3.6 [Computer Graphics]: Methodology and Techniques Kernels Laplace transforms Laplace-Beltrami operator Laplacian eigenmproblem Laplacian spectral distance and kernels Laplacian spectrum Mathematical analysis Mathematical models numerical analysis Readers shape analysis solid Spectra spectral geometry processing Studies surface Topological manifolds
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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