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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Computer graphics forum Ročník 35; číslo 2; s. 599 - 624
Hlavní autor:	Patane, Giuseppe
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Blackwell Publishing Ltd 01.05.2016
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!