Variational Regularization of 3D Data (Record no. 57672)

000 -LEADER
fixed length control field 03196nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-1-4939-0533-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112226.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140314s2014 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781493905331
-- 978-1-4939-0533-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.6
082 04 - CLASSIFICATION NUMBER
Call Number 006.37
100 1# - AUTHOR NAME
Author Montegranario, Hebert.
245 10 - TITLE STATEMENT
Title Variational Regularization of 3D Data
Sub Title Experiments with MATLAB� /
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 85 p. 21 illus.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 3D Data in Computer vision and technology -- Function Spaces and Reconstruction -- Variational methods -- Interpolation: From one to several variables -- Functionals and their physical interpretations -- Regularization and inverse theory -- 3D Interpolation and approximation -- Radial basis functions.
520 ## - SUMMARY, ETC.
Summary, etc Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an inverse problem that can be solved by Tikhonov regularization. The proposed solutions are generalizations of one-dimensional splines, applicable to n-dimensional data and the central idea is that these splines can be obtained by regularization theory using a trade-off between the fidelity of the data and smoothness properties. As a foundation, the authors present a comprehensive guide to the necessary fundamentals of functional analysis and variational calculus, as well as splines. The implementation and numerical experiments are illustrated using MATLAB�. The book also includes the necessary theoretical background for approximation methods and some details of the computer implementation of the algorithms. A working knowledge of multivariable calculus and basic vector and matrix methods should serve as an adequate prerequisite.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Mathematics.
700 1# - AUTHOR 2
Author 2 Espinosa, Jairo.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4939-0533-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Math Applications in Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Simulation and Modeling.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-5768
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-- ZDB-2-SCS

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