Variational Regularization of 3D Data Experiments with MATLAB® /

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 generaliza...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Montegranario, Hebert (Autor), Espinosa, Jairo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:SpringerBriefs in Computer Science,
Temas:
Computer vision.
Computer science-Mathematics.
Computer simulation.
Computer Vision.
Mathematical Applications in Computer Science.
Computer Modelling.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4939-0533-1
003 DE-He213
005 20220112232614.0
007 cr nn 008mamaa
008 140314s2014 xxu| s |||| 0|eng d
020 |a 9781493905331  |9 978-1-4939-0533-1 
024 7 |a 10.1007/978-1-4939-0533-1  |2 doi 
050 4 |a TA1634 
072 7 |a UYQV  |2 bicssc 
072 7 |a COM012000  |2 bisacsh 
072 7 |a UYQV  |2 thema 
082 0 4 |a 006.37  |2 23 
100 1 |a Montegranario, Hebert.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Variational Regularization of 3D Data  |h [electronic resource] :  |b Experiments with MATLAB® /  |c by Hebert Montegranario, Jairo Espinosa. 
250 |a 1st ed. 2014. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a X, 85 p. 21 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Computer Science,  |x 2191-5776 
505 0 |a 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 |a 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 |a Computer vision. 
650 0 |a Computer science-Mathematics. 
650 0 |a Computer simulation. 
650 1 4 |a Computer Vision. 
650 2 4 |a Mathematical Applications in Computer Science. 
650 2 4 |a Computer Modelling. 
700 1 |a Espinosa, Jairo.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781493905348 
776 0 8 |i Printed edition:  |z 9781493905324 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5776 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4939-0533-1  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

Ejemplares similares