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3D Surface Reconstruction
Multi-Scale Hierarchical Approaches
Taschenbuch von Francesco Bellocchio (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Inhaltsverzeichnis
Introduction.- Scanner systems.- Reconstruction.- Surface fitting as a regression problem.- Hierarchical Radial Basis Functions Networks.- Hierarchical Support Vector Regression.- Conclusion.
Details
Erscheinungsjahr: 2014
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 168
Inhalt: vi
162 S.
ISBN-13: 9781493901173
ISBN-10: 1493901176
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Bellocchio, Francesco
Piuri, Vincenzo
Ferrari, Stefano
Borghese, N. Alberto
Auflage: 2013
Hersteller: Springer US
Springer New York
Maße: 235 x 155 x 10 mm
Von/Mit: Francesco Bellocchio (u. a.)
Erscheinungsdatum: 09.11.2014
Gewicht: 0,265 kg
preigu-id: 105024012
Inhaltsverzeichnis
Introduction.- Scanner systems.- Reconstruction.- Surface fitting as a regression problem.- Hierarchical Radial Basis Functions Networks.- Hierarchical Support Vector Regression.- Conclusion.
Details
Erscheinungsjahr: 2014
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 168
Inhalt: vi
162 S.
ISBN-13: 9781493901173
ISBN-10: 1493901176
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Bellocchio, Francesco
Piuri, Vincenzo
Ferrari, Stefano
Borghese, N. Alberto
Auflage: 2013
Hersteller: Springer US
Springer New York
Maße: 235 x 155 x 10 mm
Von/Mit: Francesco Bellocchio (u. a.)
Erscheinungsdatum: 09.11.2014
Gewicht: 0,265 kg
preigu-id: 105024012
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