Riemannian Computing in Computer Vision

Turaga, Pavan K. (Editor)/ Srivastava, Anuj (Editor)

ISBN 10: 3319229567 / ISBN 13: 9783319229560

Edité par Springer Verlag, 2015

A propos de cet article

400 pages. 9.50x6.50x1.25 inches. In Stock.

N° de réf. du vendeur x-3319229567

Détails bibliographiques

• Titre: Riemannian Computing in Computer Vision
• Éditeur: Springer Verlag
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 3319229567
• ISBN à 13 chiffres: 9783319229560
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

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).

À propos de l?auteur

Pavan Turaga is an Assistant Professor at Arizona State University Anuj Srivastava is a Professor at Florida State University