Modeling and Inverse Problems in Imaging Analysis (Applied Mathematical Sciences, 155)
Chalmond, Bernard
ISBN 10: 1441930493 ISBN 13: 9781441930491
Published by Springer, 2011
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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.
From the Back Cover:
More mathematics 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. Through concrete image analysis problems, the author develops consistent modeling, a know-how generally hidden in the proposed solutions.
The book is divided into three main parts. The first two parts describe the theory behind the applications that are presented in the third part. These materials include splines (variational approach, regression spline, spline in high dimension) and random fields (Markovian field, parametric estimation, stochastic and deterministic optimization, continuous Gaussian field). Most of these applications come from industrial projects in which the author was involved in robot vision and radiography: tracking 3-D lines, radiographic image processing, 3-D reconstruction and tomography, matching and deformation learning. Numerous graphical illustrations accompany the text showing the performance of the proposed models.
This book will be useful to researchers and graduate students in mathematics, physics, computer science, and engineering.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Modeling and Inverse Problems in Imaging ...
Publisher: Springer
Publication Date: 2011
Binding: Paperback
Condition: Like New
Book Type: book
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110 figs., XXII, 309 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Applied Mathematical Sciences , Vol. 155. Sprache: Englisch. Seller Inventory # 38701HB
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Translated by Kari A. Foster.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 . Seller Inventory # 4173510
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Modeling and Inverse Problems in Imaging Analysis
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Taschenbuch. Condition: Neu. Modeling and Inverse Problems in Imaging Analysis | Bernard Chalmond | Taschenbuch | xxii | Englisch | 2011 | Springer | EAN 9781441930491 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 106971163
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Modeling and Inverse Problems in Imaging Analysis (Applied Mathematical Sciences)
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Modeling and Inverse Problems in Imaging Analysis
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ISBN 10: 1441930493
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Through concrete image analysis problems, the author develops consistent modeling, a know-how generally hidden in the proposed solutions. The book is divided into three main parts. The first two parts describe the materials necessary to the models expressed in the third part. These materials include splines (variational approach, regression spline, spline in high dimension), and random fields (Markovian field, parametric estimation, stochastic and deterministic optimization, continuous Gaussian field). 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 showing the performance of the proposed models. This book will be useful to researchers and graduate students in applied mathematics, computer vision, and physics. 340 pp. Englisch. Seller Inventory # 9781441930491
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Modeling and Inverse Problems in Imaging Analysis
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ISBN 10: 1441930493
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. Through concrete image analysis problems, the author develops consistent modeling, a know-how generally hidden in the proposed solutions. The book is divided into three main parts. The first two parts describe the materials necessary to the models expressed in the third part. These materials include splines (variational approach, regression spline, spline in high dimension), and random fields (Markovian field, parametric estimation, stochastic and deterministic optimization, continuous Gaussian field). 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 showing the performance of the proposed models. This book will be useful to researchers and graduate students in applied mathematics, computer vision, and physics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch. Seller Inventory # 9781441930491
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Modeling and Inverse Problems in Imaging Analysis (Applied Mathematical Sciences)
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Through concrete image analysis problems, the author develops consistent modeling, a know-how generally hidden in the proposed solutions. The book is divided into three main parts. The first two parts describe the materials necessary to the models expressed in the third part. These materials include splines (variational approach, regression spline, spline in high dimension), and random fields (Markovian field, parametric estimation, stochastic and deterministic optimization, continuous Gaussian field). 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 showing the performance of the proposed models. This book will be useful to researchers and graduate students in applied mathematics, computer vision, and physics. Seller Inventory # 9781441930491
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Modeling and Inverse Problems in Imaging Analysis
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