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Riemannian computing in computer vision

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Riemannian computing in computer vision/ edited by Pavan K. Turaga, Anuj Srivastava.
other author:	Turaga, Pavan K.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	vi, 391 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Computer vision - Mathematics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-22957-7
ISBN:	9783319229577

Riemannian computing in computer vision
Riemannian computing in computer vision[electronic resource] /edited by Pavan K. Turaga, Anuj Srivastava. - Cham :Springer International Publishing :2016. - vi, 391 p. :ill. (some col.), digital ;24 cm.

Welcome to Riemannian Computing in Computer Vision -- Recursive Computation of the Fr´echet Mean on Non-Positively Curved Riemannian Manifolds with Applications -- Kernels on Riemannian Manifolds -- Canonical Correlation Analysis on SPD(n) manifolds -- Probabilistic Geodesic Models for Regression and Dimensionality Reduction on Riemannian Manifolds -- Robust Estimation for Computer Vision using Grassmann Manifolds -- Motion Averaging in 3D Reconstruction Problems -- Lie-Theoretic Multi-Robot Localization -- CovarianceWeighted Procrustes Analysis -- Elastic Shape Analysis of Functions, Curves and Trajectories -- Why Use Sobolev Metrics on the Space of Curves -- Elastic Shape Analysis of Surfaces and Images -- Designing a Boosted Classifier on Riemannian Manifolds -- A General Least Squares Regression Framework on Matrix Manifolds for Computer Vision -- Domain Adaptation Using the Grassmann Manifold -- Coordinate Coding on the Riemannian Manifold of Symmetric Positive Definite Matrices for Image Classification -- Summarization and Search over Geometric Spaces.

ISBN: 9783319229577

Standard No.: 10.1007/978-3-319-22957-7doiSubjects--Topical Terms:

591437
Computer vision
--Mathematics.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Riemannian computing in computer vision
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505 0 $a Welcome to Riemannian Computing in Computer Vision -- Recursive Computation of the Fr´echet Mean on Non-Positively Curved Riemannian Manifolds with Applications -- Kernels on Riemannian Manifolds -- Canonical Correlation Analysis on SPD(n) manifolds -- Probabilistic Geodesic Models for Regression and Dimensionality Reduction on Riemannian Manifolds -- Robust Estimation for Computer Vision using Grassmann Manifolds -- Motion Averaging in 3D Reconstruction Problems -- Lie-Theoretic Multi-Robot Localization -- CovarianceWeighted Procrustes Analysis -- Elastic Shape Analysis of Functions, Curves and Trajectories -- Why Use Sobolev Metrics on the Space of Curves -- Elastic Shape Analysis of Surfaces and Images -- Designing a Boosted Classifier on Riemannian Manifolds -- A General Least Squares Regression Framework on Matrix Manifolds for Computer Vision -- Domain Adaptation Using the Grassmann Manifold -- Coordinate Coding on the Riemannian Manifold of Symmetric Positive Definite Matrices for Image Classification -- Summarization and Search over Geometric Spaces.
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