Riemannian Computing in Computer Vision - Couverture souple

9783319360959: Riemannian Computing in Computer Vision

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ISBN 10 : 3319360957 ISBN 13 : 9783319360959

Editeur : Springer, 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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� propos de l?auteur

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

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3319360957
ISBN 13: 9783319360959
Reliure: Broch�
Nombre de pages: 400
�diteur: Turaga Pavan K., Srivastava Anuj
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9783319229560: Riemannian Computing in Computer Vision

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Riemannian Computing in Computer Vision

Turaga, Pavan K.|Srivastava, Anuj

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319360957 ISBN 13 : 9783319360959

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illustrates Riemannian computing theory on applications in computer vision, machine learning, and roboticsEmphasis on algorithmic advances that will allow re-application in other contextsWritten by leading researchers in computer vision and. N� de r�f. du vendeur 448747250

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Riemannian Computing in Computer Vision

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ISBN 10 : 3319360957 ISBN 13 : 9783319360959

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Riemannian Computing in Computer Vision

Anuj Srivastava

Edit� par Springer International Publishing, Springer International Publishing, 2016

ISBN 10 : 3319360957 ISBN 13 : 9783319360959

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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). N� de r�f. du vendeur 9783319360959

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Riemannian Computing in Computer Vision

Anuj Srivastava

Edit� par Springer International Publishing Aug 2016, 2016

ISBN 10 : 3319360957 ISBN 13 : 9783319360959

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 400 pp. Englisch. N� de r�f. du vendeur 9783319360959

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Riemannian Computing in Computer Vision

Anuj Srivastava

Edit� par Springer International Publishing, Springer International Publishing Aug 2016, 2016

ISBN 10 : 3319360957 ISBN 13 : 9783319360959

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -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 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).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch. N� de r�f. du vendeur 9783319360959

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