↓ Skip to main content

Why Use Sobolev Metrics on the Space of Curves

Overview of attention for book
Cover of 'Why Use Sobolev Metrics on the Space of Curves'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Welcome to Riemannian Computing in Computer Vision
  3. Altmetric Badge
    Chapter 2 Recursive Computation of the Fréchet Mean on Non-positively Curved Riemannian Manifolds with Applications
  4. Altmetric Badge
    Chapter 3 Kernels on Riemannian Manifolds
  5. Altmetric Badge
    Chapter 4 Canonical Correlation Analysis on SPD( n ) Manifolds
  6. Altmetric Badge
    Chapter 5 Probabilistic Geodesic Models for Regression and Dimensionality Reduction on Riemannian Manifolds
  7. Altmetric Badge
    Chapter 6 Robust Estimation for Computer Vision Using Grassmann Manifolds
  8. Altmetric Badge
    Chapter 7 Motion Averaging in 3D Reconstruction Problems
  9. Altmetric Badge
    Chapter 8 Lie-Theoretic Multi-Robot Localization
  10. Altmetric Badge
    Chapter 9 Covariance Weighted Procrustes Analysis
  11. Altmetric Badge
    Chapter 10 Elastic Shape Analysis of Functions, Curves and Trajectories
  12. Altmetric Badge
    Chapter 11 Riemannian Computing in Computer Vision
  13. Altmetric Badge
    Chapter 12 Elastic Shape Analysis of Surfaces and Images
  14. Altmetric Badge
    Chapter 13 Designing a Boosted Classifier on Riemannian Manifolds
  15. Altmetric Badge
    Chapter 14 A General Least Squares Regression Framework on Matrix Manifolds for Computer Vision
  16. Altmetric Badge
    Chapter 15 Domain Adaptation Using the Grassmann Manifold
  17. Altmetric Badge
    Chapter 16 Coordinate Coding on the Riemannian Manifold of Symmetric Positive-Definite Matrices for Image Classification
  18. Altmetric Badge
    Chapter 17 Summarization and Search Over Geometric Spaces
Attention for Chapter 9: Covariance Weighted Procrustes Analysis
Altmetric Badge

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
7 Mendeley
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.
Chapter title
Covariance Weighted Procrustes Analysis
Chapter number 9
Book title
Riemannian Computing in Computer Vision
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-22957-7_9
Book ISBNs
978-3-31-922956-0, 978-3-31-922957-7
Authors

Christopher J. Brignell, Ian L. Dryden, William J. Browne

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 43%
Agricultural and Biological Sciences 2 29%
Mathematics 1 14%
Materials Science 1 14%