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 Foundation of Digital Badges and Micro-Credentials by
Cover of the book Extreme Hepatic Surgery and Other Strategies by
Cover of the book Acute Elbow Trauma by
Cover of the book Daniel McAlpine and The Bitter Pit by
Cover of the book Computer Security -- ESORICS 2015 by
Cover of the book The Structure of Digital Partner Choice by
Cover of the book Advances in Systematic Creativity by
Cover of the book Media Logic(s) Revisited by
Cover of the book Unhappiness, Sadness and 'Depression' by
Cover of the book Grate-Fired Energy Crop Conversion by
Cover of the book Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by
Cover of the book Biodiversity and Conservation of the Yucatán Peninsula by
Cover of the book Formal Modeling and Analysis of Timed Systems by
Cover of the book Ethnobotany of Tuberculosis in Laos by
Cover of the book Autonomous Agents and Multiagent Systems 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