An Introduction to Laplacian Spectral Distances and Kernels (Record no. 85198)

000 -LEADER
fixed length control field 03543nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-031-02593-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164008.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031025938
-- 978-3-031-02593-8
082 04 - CLASSIFICATION NUMBER
Call Number 510
100 1# - AUTHOR NAME
Author Patanè, Giuseppe.
245 13 - TITLE STATEMENT
Title An Introduction to Laplacian Spectral Distances and Kernels
Sub Title Theory, Computation, and Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 120 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 List of Figures -- List of Tables -- Preface -- Acknowledgments -- Laplace Beltrami Operator -- Heat and Wave Equations -- Laplacian Spectral Distances -- Discrete Spectral Distances -- Applications -- Conclusions -- Bibliography -- Author's Biography.
520 ## - SUMMARY, ETC.
Summary, etc In geometry processing and shape analysis, several applications have been addressed through the properties of the Laplacian spectral kernels and distances, such as commute time, biharmonic, diffusion, and wave distances. Within this context, this book is intended to provide a common background on the definition and computation of the Laplacian spectral kernels and distances for geometry processing and shape analysis. To this end, we define a unified representation of the isotropic and anisotropic discrete Laplacian operator on surfaces and volumes; then, we introduce the associated differential equations, i.e., the harmonic equation, the Laplacian eigenproblem, and the heat equation. Filtering the Laplacian spectrum, we introduce the Laplacian spectral distances, which generalize the commute-time, biharmonic, diffusion, and wave distances, and their discretization in terms of the Laplacian spectrum. As main applications, we discuss the design of smooth functions and the Laplacian smoothing of noisy scalar functions. All the reviewed numerical schemes are discussed and compared in terms of robustness, approximation accuracy, and computational cost, thus supporting the reader in the selection of the most appropriate with respect to shape representation, computational resources, and target application.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Digital techniques.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02593-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer vision.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Imaging, Vision, Pattern Recognition and Graphics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2469-4223
912 ## -
-- ZDB-2-SXSC

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