3D Surface Reconstruction

Multi-Scale Hierarchical Approaches

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

Table of contents

  1. Front Matter
    Pages i-vi
  2. Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
    Pages 1-19
  3. Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
    Pages 21-42
  4. Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
    Pages 43-59
  5. Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
    Pages 61-76
  6. Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
    Pages 77-110
  7. Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
    Pages 111-142
  8. Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri
    Pages 143-148
  9. Back Matter
    Pages 149-162

About this book

Introduction

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.

Keywords

3D modeling 3D scanner Hierarchical models Kernel functions Multi-scale manifold approximation Online learning Radial basis function networks Real-time parameters estimate Regression Support vector machines Support vector regression Surface reconstruction

Authors and affiliations

  • Francesco Bellocchio
    • 1
  • N. Alberto Borghese
    • 2
  • Stefano Ferrari
    • 3
  • Vincenzo Piuri
    • 4
  1. 1.Università degli Studi di MilanoCremaItaly
  2. 2.Università degli Studi di MilanoMilanoItaly
  3. 3.Università degli Studi di MilanoCremaItaly
  4. 4.Università degli Studi di MilanoCremaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-5632-2
  • Copyright Information Springer Science+Business Media, LLC 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-5631-5
  • Online ISBN 978-1-4614-5632-2
  • About this book