Variational Regularization of 3D Data Experiments with MATLAB® /

• Main Authors: Montegranario, Hebert (Author), Espinosa, Jairo (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Computer science > Mathematics.; Computer simulation.; Image processing.; Computer Science.; Image Processing and Computer Vision.; Math Applications in Computer Science.; Simulation and Modeling.

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...

Table of 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.