Computer Vision

Giovanni Maria Farinella

ISBN 10: 3846519197 / ISBN 13: 9783846519196

Edité par LAP LAMBERT Academic Publishing Okt 2011, 2011

A propos de cet article

This item is printed on demand - Print on Demand Titel. Neuware -Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental; these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch.

N° de réf. du vendeur 9783846519196

Détails bibliographiques

• Titre: Computer Vision
• Éditeur: LAP LAMBERT Academic Publishing Okt 2011
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 3846519197
• ISBN à 13 chiffres: 9783846519196
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental; these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning.