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Tensors in Image Processing and Computer Vision

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Cover of 'Tensors in Image Processing and Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 A Review of Tensors and Tensor Signal Processing
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    Chapter 2 Segmentation of Tensor Fields: Recent Advances and Perspectives
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    Chapter 3 A Variational Approach to the Registration of Tensor-Valued Images
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    Chapter 4 Quality Assessment of Tensor Images
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    Chapter 5 Algorithms for Nonnegative Tensor Factorization
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    Chapter 6 PDE-based Morphology for Matrix Fields: Numerical Solution Schemes
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    Chapter 7 Spherical Tensor Calculus for Local Adaptive Filtering
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    Chapter 8 On Geometric Transformations of Local Structure Tensors
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    Chapter 9 Multi-View Matching Tensors from Lines for General Camera Models
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    Chapter 10 Binocular Full-Body Pose Recognition and Orientation Inference Using Multilinear Analysis
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    Chapter 11 Applications of Multiview Tensors in Higher Dimensions
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    Chapter 12 Constraints for the Trifocal Tensor
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    Chapter 13 Review of Techniques for Registration of Diffusion Tensor Imaging
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    Chapter 14 Practical and Intuitive Basis for Tensor Field Processing with Invariant Gradients and Rotation Tangents
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    Chapter 15 From Second to Higher Order Tensors in Diffusion-MRI
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    Chapter 16 DT-MRI Connectivity and/or Tractography?: Two New Algorithms
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    Chapter 17 Strain Rate Tensor Estimation in Cine Cardiac MRI Based on Elastic Image Registration
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    Chapter 18 Strain Tensor Elastography: 2D and 3D Visualizations
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    Chapter 19 Similar Tensor Arrays – A Framework for Storage of Tensor Array Data
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    Chapter 20 User Interfaces to Interact with Tensor Fields
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    Chapter 21 T-flash: Tensor Visualization in Medical Studio
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    Chapter 22 DT-MRI Connectivity and/or Tractography?: Two New Algorithms
Overall attention for this book and its chapters
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