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3D Imaging, Analysis and Applications

  • Textbook
  • © 2012

Overview

Editors:
  1. Nick Pears

    1. Department of Computer Science, University of York, Heslington, York, United Kingdom

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  2. Yonghuai Liu

    1. Department of Computer Science, Aberystwyth University, Ceredigion, Aberystwyth, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  3. Peter Bunting

    1. Institute of Geography and Earth Science, Aberystwyth University, Ceredigion, Aberystwyth, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  • Provides a broad coverage of core topics in 3D imaging, analysis and applications
  • Illustrates the power of 3D imaging with detailed discussions and easily implementable algorithms for many real-world applications
  • Authored by a diverse, yet complementary group of more than 20 world-leading academics
  • Includes supplementary material: sn.pub/extras

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XVI
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  2. Introduction

    • Reinhard Koch, Nick Pears, Yonghuai Liu
    Pages 1-31

  3. 3D Imaging and Shape Representation

    1. Front Matter

      Pages 33-33
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    2. Passive 3D Imaging

      • Stephen Se, Nick Pears
      Pages 35-94

    3. Active 3D Imaging Systems

      • Marc-Antoine Drouin, Jean-Angelo Beraldin
      Pages 95-138

    4. Representing, Storing and Visualizing 3D Data

      • William A. P. Smith
      Pages 139-182

  4. 3D Shape Analysis and Processing

    1. Front Matter

      Pages 183-183
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    2. Feature-Based Methods in 3D Shape Analysis

      • Alexander M. Bronstein, Michael M. Bronstein, Maks Ovsjanikov
      Pages 185-219

    3. 3D Shape Registration

      • Umberto Castellani, Adrien Bartoli
      Pages 221-264

    4. 3D Shape Matching for Retrieval and Recognition

      • Benjamin Bustos, Ivan Sipiran
      Pages 265-308

  5. 3D Imaging Applications

    1. Front Matter

      Pages 309-309
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    2. 3D Face Recognition

      • Ajmal Mian, Nick Pears
      Pages 311-366

    3. 3D Digital Elevation Model Generation

      • Hong Wei, Marc Bartels
      Pages 367-415

    4. High-Resolution Three-Dimensional Remote Sensing for Forest Measurement

      • Hans-Erik Andersen
      Pages 417-443

    5. 3D Medical Imaging

      • Philip G. Batchelor, P. J. “Eddie” Edwards, Andrew P. King
      Pages 445-495

  6. Back Matter

    Pages 497-499
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Keywords

About this book

3D Imaging, Analysis and Applications brings together core topics, both in terms of well-established fundamental techniques and the most promising recent techniques in the exciting field of 3D imaging and analysis. Many similar techniques are being used in a variety of subject areas and applications and the authors attempt to unify a range of related ideas. With contributions from high profile researchers and practitioners, the material presented is informative and authoritative and represents mainstream work and opinions within the community.

Composed of three sections, the first examines 3D imaging and shape representation, the second, 3D shape analysis and processing, and the last section covers 3D imaging applications. Although 3D Imaging, Analysis and Applications is primarily a graduate text, aimed at masters-level and doctoral-level research students, much material is accessible to final-year undergraduate students. It will also serve as a reference text for professional academics, people working in commercial research and development labs and industrial practitioners.

Editors and Affiliations

  • Department of Computer Science, University of York, Heslington, York, United Kingdom

    Nick Pears

  • Department of Computer Science, Aberystwyth University, Ceredigion, Aberystwyth, United Kingdom

    Yonghuai Liu

  • Institute of Geography and Earth Science, Aberystwyth University, Ceredigion, Aberystwyth, United Kingdom

    Peter Bunting

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