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Author:   Pavan K. Turaga ,  Anuj Srivastava
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   7.214kg
ISBN:  

9783319229560

ISBN 10:   3319229567
Pages:   391
Publication Date:   18 November 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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Pavan Turaga is an Assistant Professor at Arizona State University Anuj Srivastava is a Professor at Florida State University

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