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Download ebook Riemannian Computing in Computer Vision 2016

Download ebook Riemannian Computing in Computer Vision 2016

Riemannian Computing in Computer Vision 2016 by Pavan K Turaga
Riemannian Computing in Computer Vision 2016
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Author: Pavan K Turaga
Number of Pages: 397 pages
Published Date: 01 Dec 2015
Publisher: Springer International Publishing AG
Publication Country: Cham, Switzerland
Language: English
ISBN: 9783319229560
Download Link: Riemannian Computing in Computer Vision 2016
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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).

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