Ebook: 3D Imaging, Analysis and Applications

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.

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Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. *Ideal module text for courses in artificial intelligence, image processing and computer vision*Essential reading for engineers and academics working in this cutting-edge field*Supported by free software on a companion website Part 1. 3D Imaging and Shape Representation -- Passive 3D Imaging / Stephen Se and Nick Pears -- Active 3D Imaging Systems / Marc-Antoine Drouin and Jean-Angelo Beraldin -- Representing, Storing and Visualizing 3D Data / William A. P. Smith -- Introduction / Reinhard Koch, Nick Pears and Yonghuai Liu -- Part 2. 3D Shape Analysis and Processing -- Feature-Based Methods in 3D Shape Analysis / Alexander M. Bronstein, Michael M. Bronstein and Maks Ovsjanikov -- 3D Shape Registration / Umberto Castellani and Adrien Bartoli -- 3D Shape Matching for Retrieval and Recognition / Benjamin Bustos and Ivan Sipiran -- Part 3. 3D Imaging Applications -- 3D Face Recognition / Ajmal Mian and Nick Pears -- 3D Digital Elevation Model Generation / Hong Wei and Marc Bartels -- High-Resolution Three-Dimensional Remote Sensing for Forest Measurement / Hans-Erik Andersen -- 3D Medical Imaging / Philip G. Batchelor, P. J. "Eddie" Edwards and Andrew P. King