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Visualization and Processing of Tensor Fields

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Cover of 'Visualization and Processing of Tensor Fields'

Table of Contents

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    Book Overview
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    Chapter 1 Modelling, Fitting and Sampling in Diffusion MRI
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    Chapter 2 Tensors, Polynomials and Models for Directional Data
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    Chapter 3 A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction
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    Chapter 4 Visualization and Processing of Tensor Fields
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    Chapter 5 Structure-Specific Statistical Mapping of White Matter Tracts
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    Chapter 6 Analysis of Distance/Similarity Measures for Diffusion Tensor Imaging
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    Chapter 7 Tensor Glyph Warping: Visualizing Metric Tensor Fields using Riemannian Exponential Maps
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    Chapter 8 Interactive Volume Rendering of Diffusion Tensor Data
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    Chapter 9 Dense Glyph Sampling for Visualization
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    Chapter 10 The Role of Tensor Fields for Satellite Gravity Gradiometry
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    Chapter 11 Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics
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    Chapter 12 A Tensor Approach to Elastography Analysis and Visualization
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    Chapter 13 A Higher-Order Structure Tensor
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    Chapter 14 Monogenic Curvature Tensor as Image Model
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    Chapter 15 A General Structure Tensor Concept and Coherence-Enhancing Diffusion Filtering for Matrix Fields
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    Chapter 16 Coordinates-Based Diffusion Over the Space of Symmetric Positive-Definite Matrices
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    Chapter 17 Variational Methods for Denoising Matrix Fields
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    Chapter 18 An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images
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Title
Visualization and Processing of Tensor Fields
Published by
Springer-Verlag Berlin Heidelberg, January 2009
DOI 10.1007/978-3-540-88378-4
ISBNs
978-3-54-088377-7, 978-3-54-088378-4, 978-3-64-210003-1
Authors

Laidlaw, David, Weickert, Joachim

Editors

David H. Laidlaw, Joachim Weickert

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Netherlands 1 <1%
Ireland 1 <1%
Italy 1 <1%
Switzerland 1 <1%
Denmark 1 <1%
Canada 1 <1%
Spain 1 <1%
China 1 <1%
Other 0 0%
Unknown 96 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 35%
Researcher 24 22%
Student > Master 9 8%
Other 4 4%
Student > Doctoral Student 4 4%
Other 14 13%
Unknown 15 14%
Readers by discipline Count As %
Computer Science 25 23%
Engineering 20 19%
Mathematics 10 9%
Physics and Astronomy 10 9%
Agricultural and Biological Sciences 6 6%
Other 17 16%
Unknown 20 19%