Variational Regularization of 3D Data: Experiments with MATLAB Hebert Montegranario

ISBN: 9781493905324

Published: March 14th 2014

Paperback

85 pages


Description

Variational Regularization of 3D Data: Experiments with MATLAB  by  Hebert Montegranario

Variational Regularization of 3D Data: Experiments with MATLAB by Hebert Montegranario
March 14th 2014 | Paperback | PDF, EPUB, FB2, DjVu, audiobook, mp3, ZIP | 85 pages | ISBN: 9781493905324 | 6.36 Mb

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 TikhonovMoreVariational 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(r). 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.



Enter the sum





Related Archive Books



Related Books


Comments

Comments for "Variational Regularization of 3D Data: Experiments with MATLAB":


kawasaki-team.eu

©2009-2015 | DMCA | Contact us