Variational Regularization of 3D Data is popular PDF and ePub book, written by Hebert Montegranario in 2014-03-14, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Variational Regularization of 3D Data can be Read Online from any device for your convenience.
Variational Regularization of 3D Data Book PDF Summary
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.
Detail Book of Variational Regularization of 3D Data PDF
- Author : Hebert Montegranario
- Release : 14 March 2014
- Publisher : Springer Science & Business Media
- ISBN : 9781493905331
- Genre : Computers
- Total Page : 87 pages
- Language : English
- PDF File Size : 12,9 Mb
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