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Riemannian computing in computer vision

Turaga, Pavan K.

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Riemannian computing in computer vision

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Riemannian computing in computer vision/ edited by Pavan K. Turaga, Anuj Srivastava.
其他作者:	Turaga, Pavan K.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	vi, 391 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Computer vision - Mathematics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-22957-7
ISBN:	9783319229577$q(electronic bk.)

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$q(electronic bk.)

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

596840
Computer vision
--Mathematics.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

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