3D Surface Reconstruction: Multi-Scale Hierarchical Approaches

Bellocchio, Francesco; Borghese, N. Alberto; Ferrari, Stefano; Piuri, Vincenzo

ISBN 10: 1493901176 ISBN 13: 9781493901173
Verlag: Springer, 2014
Neu Softcover

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3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging.

Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required.

3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.

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3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging.

Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required.

3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.

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Titel: 3D Surface Reconstruction: Multi-Scale ...
Verlag: Springer
Erscheinungsdatum: 2014
Einband: Softcover
Zustand: New

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Francesco Bellocchio (u. a.)
Verlag: Springer US, 2014
ISBN 10: 1493901176 ISBN 13: 9781493901173
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Taschenbuch. Zustand: Neu. 3D Surface Reconstruction | Multi-Scale Hierarchical Approaches | Francesco Bellocchio (u. a.) | Taschenbuch | vi | Englisch | 2014 | Springer US | EAN 9781493901173 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 105024012

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Francesco Bellocchio
Verlag: Springer New York, 2014
ISBN 10: 1493901176 ISBN 13: 9781493901173
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required. 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields. Artikel-Nr. 9781493901173

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Francesco Bellocchio
Verlag: Springer, 2012
ISBN 10: 1493901176 ISBN 13: 9781493901173
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Paperback. Zustand: Brand New. 168 pages. 9.25x6.10x0.38 inches. In Stock. Artikel-Nr. x-1493901176

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