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Riemannian Computing in Computer Vision

  • Book
  • © 2016

Overview

Editors:
  1. Pavan K. Turaga

    1. Arizona State University, Tempe, USA

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  2. Anuj Srivastava

    1. Florida State University, Tallahassee, USA

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  • Illustrates Riemannian computing theory on applications in computer vision, machine learning, and robotics

  • Emphasis on algorithmic advances that will allow re-application in other contexts

  • Written by leading researchers in computer vision and Riemannian computing, from universities and industry

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Table of contents (17 chapters)

  1. Objects, Humans, and Activity

    1. Coordinate Coding on the Riemannian Manifold of Symmetric Positive-Definite Matrices for Image Classification

      • Mehrtash Harandi, Mina Basirat, Brian C. Lovell
      Pages 345-361

    2. Summarization and Search Over Geometric Spaces

      • Nitesh Shroff, Rushil Anirudh, Rama Chellappa
      Pages 363-387

  2. Back Matter

    Pages 389-391
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Keywords

About this book

This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).

Editors and Affiliations

  • Arizona State University, Tempe, USA

    Pavan K. Turaga

  • Florida State University, Tallahassee, USA

    Anuj Srivastava

About the editors

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

Bibliographic Information

  • Book Title: Riemannian Computing in Computer Vision

  • Editors: Pavan K. Turaga, Anuj Srivastava

  • DOI: https://doi.org/10.1007/978-3-319-22957-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-22956-0Published: 18 November 2015

  • Softcover ISBN: 978-3-319-36095-9Published: 23 August 2016

  • eBook ISBN: 978-3-319-22957-7Published: 09 November 2015

  • Edition Number: 1

  • Number of Pages: VI, 391

  • Number of Illustrations: 22 b/w illustrations, 66 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Image Processing and Computer Vision, Applications of Mathematics

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