رکورد قبلیرکورد بعدی

" Variational regularization of 3D data : "


Document Type : BL
Record Number : 668281
Doc. No : dltt
Main Entry : Montegranario, Hebert
Title & Author : Variational regularization of 3D data : : experiments with MATLAB® /\ Hebert Montegranario, Jairo Espinosa
Series Statement : SpringerBriefs in Computer Science,
Page. NO : 1 online resource (x, 85 pages) :: illustrations.
ISBN : 1493905333 (electronic bk.)
: : 9781493905331 (electronic bk.)
: 1493905325 (print)
: 9781493905324
: 9781493905324 (print)
Bibliographies/Indexes : Includes bibliographical references
Contents : 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
Abstract : 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
Subject : Computer vision.
Subject : Three-dimensional imaging.
Subject : Computer Science.
Subject : Image Processing and Computer Vision.
Subject : Math Applications in Computer Science.
Subject : Simulation and Modeling.
LC Classification : ‭TA1634‬
Added Entry : Espinosa, Jairo
Added Entry : Ohio Library and Information Network.
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