Guide to 3D Vision Computation

Geometric Analysis and Implementation

  • Kenichi Kanatani
  • Yasuyuki Sugaya
  • Yasushi Kanazawa

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
    Pages 1-8
  3. Fundamental Algorithms for Computer Vision

    1. Front Matter
      Pages 9-9
    2. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 11-32
    3. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 33-57
    4. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 59-68
    5. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 69-80
    6. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 81-97
    7. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 99-105
    8. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 107-115
    9. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 117-129
  4. Multiview 3D Reconstruction Techniques

    1. Front Matter
      Pages 131-131
    2. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 133-147
    3. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 149-161
    4. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 163-182
    5. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 183-210
  5. Mathematical Foundation of Geometric Estimation

    1. Front Matter
      Pages 211-211
    2. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 213-229
    3. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 231-242
    4. Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
      Pages 243-254

About this book

Introduction

This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other textbooks on computer vision, this Guide to 3D Vision Computation takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system. The theoretical background is then briefly explained afterwards, highlighting how one can quickly and simply obtain the desired result without knowing the derivation of the mathematical detail.

Topics and features:

  • Reviews the fundamental algorithms underlying computer vision, and their implementation
  • Describes the latest techniques for 3D reconstruction from multiple images
  • Summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems
  • Offers examples of experimental results, enabling the reader to get a feeling of what can be done using each procedure
  • Presents derivations and justifications as problems at the end of each chapter, with solutions supplied at the end of the book
  • Explains the historical background for each topic in the supplemental notes at the end of each chapter
  • Provides additional material at an associated website, include sample code for typical procedures to help readers implement the algorithms described in the book

This accessible work will be of great value to students on introductory computer vision courses. Serving as both as a practical programming guidebook and a useful reference on mathematics for computer vision, it is suitable for practitioners seeking to implement computer vision algorithms as well as for theoreticians wishing to know the underlying mathematical detail.

Keywords

Computer Vision Geometric Estimation 3D Reconstruction Self-Calibration Theoretical Accuracy Limit

Authors and affiliations

  • Kenichi Kanatani
    • 1
  • Yasuyuki Sugaya
    • 2
  • Yasushi Kanazawa
    • 3
  1. 1.Okayama UniversityOkayamaJapan
  2. 2.Toyohashi University of TechnologyToyohashiJapan
  3. 3.Toyohashi University of TechnologyToyohashiJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-48493-8
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-48492-1
  • Online ISBN 978-3-319-48493-8
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book