Overview
- 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)
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3D Imaging and Shape Representation
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3D Shape Analysis and Processing
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3D Imaging Applications
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
Bibliographic Information
Book Title: 3D Imaging, Analysis and Applications
Editors: Nick Pears, Yonghuai Liu, Peter Bunting
DOI: https://doi.org/10.1007/978-1-4471-4063-4
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2012
Softcover ISBN: 978-1-4471-6024-3Published: 11 June 2014
eBook ISBN: 978-1-4471-4063-4Published: 22 May 2012
Edition Number: 1
Number of Pages: XVI, 500
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics