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Advanced Procrustes Analysis Models in Photogrammetric Computer Vision

  • Fabio Crosilla
  • Alberto Beinat
  • Andrea Fusiello
  • Eleonora Maset
  • Domenico Visintini

Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 590)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
    Pages 1-3
  3. Theory of Procrustes Analysis Models

    1. Front Matter
      Pages 5-5
    2. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 7-28
    3. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 29-43
    4. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 45-51
    5. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 53-64
  4. An Introduction to Computer Vision and Laser Scanning

    1. Front Matter
      Pages 65-65
    2. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 67-85
    3. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 87-97
  5. Applications of Procrustes Analysis Models

    1. Front Matter
      Pages 99-99
    2. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 101-151
    3. Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
      Pages 153-172

About this book

Introduction

This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods.

Keywords

Procrustes analysis Procrustes problems Bundle adjustment Point clouds registration Algebraic techniques

Authors and affiliations

  • Fabio Crosilla
    • 1
  • Alberto Beinat
    • 2
  • Andrea Fusiello
    • 3
  • Eleonora Maset
    • 4
  • Domenico Visintini
    • 5
  1. 1.University of UdineUdineItaly
  2. 2.University of UdineUdineItaly
  3. 3.University of UdineUdineItaly
  4. 4.University of UdineUdineItaly
  5. 5.University of UdineUdineItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-11760-3
  • Copyright Information CISM International Centre for Mechanical Sciences 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-11759-7
  • Online ISBN 978-3-030-11760-3
  • Series Print ISSN 0254-1971
  • Series Online ISSN 2309-3706
  • Buy this book on publisher's site