3D Surface Reconstruction

Name: 3D Surface Reconstruction
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ISBN: 9781461456315

Multi-Scale Hierarchical Approaches

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

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Hardback

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English

Springer-Verlag New York Inc.
29 October 2012

Computing: general; Network hardware; Artificial intelligence; Computer vision; Image processing

Summary
Details

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.

By: Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2013 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 11mm
Weight: 454g
ISBN: 9781461456315
ISBN 10: 1461456312
Pages: 162
Publication Date: 29 October 2012
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active