Advanced Topics in Computer Vision - Couverture souple

9781447170259: Advanced Topics in Computer Vision

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ISBN 10 : 1447170253 ISBN 13 : 9781447170259

Editeur : Springer, 2016

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This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text describes novel algorithms designed to infer the semantic content of images and videos.

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� propos de l?auteur

Dr. Giovanni Maria Farinella is Adjunct Professor of Computer Science at the University of Catania, Italy, and Contract Professor of Computer Vision at the School of Arts of Catania, Italy. Dr. Sebastiano Battiato is Associate Professor at the University of Catania, Italy. Dr. Roberto Cipolla is Professor of Information Engineeringat the University of Cambridge, UK.

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: 1447170253
ISBN 13: 9781447170259
Reliure: Broch�
Nombre de pages: 448
�diteur: Farinella Giovanni Maria, Battiato Sebastiano, Cipolla Roberto
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
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Advanced Topics in Computer Vision

Giovanni Maria Farinella

Edit� par Springer London Aug 2016, 2016

ISBN 10 : 1447170253 ISBN 13 : 9781447170259

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video. 448 pp. Englisch. N� de r�f. du vendeur 9781447170259

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Advanced Topics in Computer Vision

Farinella, Giovanni Maria|Battiato, Sebastiano|Cipolla, Roberto

Edit� par Springer London, 2016

ISBN 10 : 1447170253 ISBN 13 : 9781447170259

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a broad selection of cutting-edge research from internationally-recognized computer vision groupsCovers both theoretical and practical aspects of reconstruction, registration, and recognitionProvides an overview of challenging area. N� de r�f. du vendeur 458490188

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Advanced Topics in Computer Vision

Giovanni Maria Farinella (u. a.)

Edit� par Springer London, 2016

ISBN 10 : 1447170253 ISBN 13 : 9781447170259

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Advanced Topics in Computer Vision

Giovanni Maria Farinella

Edit� par Springer London, Springer London Aug 2016, 2016

ISBN 10 : 1447170253 ISBN 13 : 9781447170259

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. N� de r�f. du vendeur 9781447170259

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Advanced Topics in Computer Vision

Giovanni Maria Farinella

Edit� par Springer London, Springer London, 2016

ISBN 10 : 1447170253 ISBN 13 : 9781447170259

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video. N� de r�f. du vendeur 9781447170259

Contacter le vendeur