Articoli correlati a Modeling and Inverse Problems in Image Analysis: 155
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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.
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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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer Verlag
- Data di pubblicazione2003
- ISBN 10 038795547X
- ISBN 13 9780387955476
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine309
- Contatto del produttorenon disponibile
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Modeling and Inverse Problems in Image Analysis.
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New York, Springer., 2003
ISBN 10: 038795547X
ISBN 13: 9780387955476
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Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
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110 figs., XXII, 309 p. Hardcover. 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. Codice articolo 35642HB
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Modeling and Inverse Problems in Imaging Analysis
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Condizione: New. pp. 340. Codice articolo 18290582
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Modeling and Inverse Problems in Imaging Analysis
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Modeling and Inverse Problems in Imaging Analysis
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Condizione: New. pp. 340 68 Illus. Codice articolo 7590083
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Modeling And Inverse Problems In Image Analysis
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Condizione: Brand New. New. US edition. Excellent Customer Service. Codice articolo ABEJUNE24-89476
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-88477
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Condizione: 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 . Codice articolo 5912597
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Buch. Condizione: 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. 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. 340 pp. Englisch. Codice articolo 9780387955476
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Modeling and Inverse Problems in Imaging Analysis
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Springer New York, Springer US Jan 2003, 2003
ISBN 10: 038795547X
ISBN 13: 9780387955476
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Buch. Condizione: Neu. 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. Codice articolo 9780387955476
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Modeling and Inverse Problems in Imaging Analysis (Applied Mathematical Sciences, 155)
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