Riemannian Computing in Computer Vision

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
Cover of the book Riemannian Computing in Computer Vision by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319229577
Publisher: Springer International Publishing Publication: November 9, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319229577
Publisher: Springer International Publishing
Publication: November 9, 2015
Imprint: Springer
Language: English

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).

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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).

More books from Springer International Publishing

Cover of the book Optimal Financial Decision Making under Uncertainty by
Cover of the book Prison Tattoos by
Cover of the book Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries by
Cover of the book Strategy and Game Theory by
Cover of the book Respiratory Virology and Immunogenicity by
Cover of the book Information Management and Big Data by
Cover of the book Computational Intelligence by
Cover of the book Security, Privacy, and Applied Cryptography Engineering by
Cover of the book Comparative Literature and the Historical Imaginary by
Cover of the book Berichte zur Lebensmittelsicherheit 2014 by
Cover of the book Smart Homes and Their Users by
Cover of the book Image Analysis and Processing - ICIAP 2017 by
Cover of the book Topics in Modal Analysis II, Volume 8 by
Cover of the book Football and Supporter Activism in Europe by
Cover of the book Slope-Channel Coupling as a Factor in the Evolution of Mountains by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy