Riemannian Computing in Computer Vision

Riemannian Computing in Computer Vision
Author :
Publisher : Springer
Total Pages : 382
Release :
ISBN-10 : 9783319229577
ISBN-13 : 3319229575
Rating : 4/5 (575 Downloads)

Book Synopsis Riemannian Computing in Computer Vision by : Pavan K. Turaga

Download or read book Riemannian Computing in Computer Vision written by Pavan K. Turaga and published by Springer. This book was released on 2015-11-09 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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