This book is devoted to energy-based modeling issues. It will be useful to researchers and graduate students in mathematics, computer science, physics, and engineering.

Klappentext

More mathematicians have been taking part in the development of digital image processing as a science and the contributions are reflected in the increasingly important role modeling has played solving complex problems. This book is mostly concerned with energy-based models. Most of these models come from industrial projects in which the author was involved in robot vision and radiography: tracking 3D lines, radiographic image processing, 3D reconstruction and tomography, matching, deformation learning. Numerous graphical illustrations accompany the text.

Inhalt

AcknowledgmentsList of FiguresNotation and SymbolsIntroduction * I Spline ModelsNon-parametric spline models * Parametric spline models * Auto-Associative Models * II Markov Models*Fundamental Aspects * Bayesian estimation * Simulation and optimization * Parameter Estimation III Modeling in Action Model-building * Degradation in Imaging * Detection of filamentary Entities * Reconstruction and Projections * Matching * References