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Tensors in Image Processing and Computer Vision

Overview of attention for book
Cover of 'Tensors in Image Processing and Computer Vision'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Review of Tensors and Tensor Signal Processing
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    Chapter 2 Segmentation of Tensor Fields: Recent Advances and Perspectives
  4. Altmetric Badge
    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
  9. Altmetric Badge
    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
  14. Altmetric Badge
    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
  16. Altmetric Badge
    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
  18. Altmetric Badge
    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
  22. Altmetric Badge
    Chapter 21 T-flash: Tensor Visualization in Medical Studio
  23. Altmetric Badge
    Chapter 22 DT-MRI Connectivity and/or Tractography?: Two New Algorithms
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Readers on

mendeley
63 Mendeley
Summary X Wikipedia
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tensors in Image Processing and Computer Vision
Published by
ADS, May 2009
DOI 10.1007/978-1-84882-299-3
ISBNs
978-1-84882-298-6, 978-1-84882-299-3
Editors

Aja-Fernández, Santiago, Luis García, Rodrigo, Tao, Dacheng, Li, Xuelong

View on publisher site
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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 3%
Researcher 1 2%
Unknown 60 95%
Readers by discipline Count As %
Computer Science 2 3%
Engineering 1 2%
Unknown 60 95%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 December 2020.
All research outputs
#7,041,349
of 23,041,514 outputs
Outputs from ADS
#8,731
of 37,451 outputs
Outputs of similar age
#32,276
of 97,656 outputs
Outputs of similar age from ADS
#83
of 317 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 97,656 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.

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