Overview
- Includes works performed in very different areas as long as they are consistent with the central theme of the book
- Will help to enable transfer of knowledge between different disciplines potentially leading to significant advances
- Will bridge the gap between application-oriented and theoretical studies
- Great resources for junior scientists and those who would like to have an up-to-date information on the ongoing developments
Part of the book series: Mathematics and Visualization (MATHVISUAL)
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About this book
This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews.
This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to MultivaluedData: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016.It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
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Table of contents (17 papers)
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Front Matter
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Image Processing and Analysis
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Front Matter
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Diffusion Modeling and Microstructure
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Modeling, Analysis, and Visualization of Anisotropy
Editors: Thomas Schultz, Evren Özarslan, Ingrid Hotz
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-319-61358-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-61357-4Published: 15 October 2017
Softcover ISBN: 978-3-319-87060-1Published: 30 August 2018
eBook ISBN: 978-3-319-61358-1Published: 14 October 2017
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: X, 407
Number of Illustrations: 150 illustrations in colour
Topics: Linear and Multilinear Algebras, Matrix Theory, Computational Science and Engineering, Visualization, Image Processing and Computer Vision