Riemannian Computing in Computer Vision Pavan K Turaga

ISBN: 9783319229560

Published: December 11th 2015

Hardcover

391 pages


Description

Riemannian Computing in Computer Vision  by  Pavan K Turaga

Riemannian Computing in Computer Vision by Pavan K Turaga
December 11th 2015 | Hardcover | PDF, EPUB, FB2, DjVu, AUDIO, mp3, ZIP | 391 pages | ISBN: 9783319229560 | 3.37 Mb

This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volumeincludes chapter contributions from leading figures in the field of computerMoreThis book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems.

This edited volumeincludes 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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