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Computer Science - Image Processing | 3D Imaging, Analysis and Applications

3D Imaging, Analysis and Applications

Pears, Nick, Liu, Yonghuai, Bunting, Peter (Eds.)

2012, XVI, 500 p.

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  • 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

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.

Content Level » Graduate

Keywords » 3D Data Acquisition - 3D Object Retrieval - 3D Shape Analysis - 3D Vision - Digital Modelling

Related subjects » Image Processing

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