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In den WarenkorbZustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbZustand: New. In.
Verlag: Springer-Verlag New York Inc, 2006
ISBN 10: 3540327592 ISBN 13: 9783540327592
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 216 pages. 8.80x6.10x0.50 inches. In Stock.
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2006, 2006
ISBN 10: 3540327592 ISBN 13: 9783540327592
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -Object detection and recognition is a topic of significant interest in computer and robot vision. It is required in most applications of computational vision, for example, biometric systems, medical imaging, intelligent cars, factory automation, and image databases.One of the major challenges in designing object recognition systems is to construct methods that are fast and capable of operating on standard computer platforms. The more developed such systems become, the more urgent becomes the need for a pre-selection system that enables subsequent processing to focus only on relevant data. One mechanism to achieve this is visual attention: it selects regions in a visual scene that are most likely to contain objects of interest. The field of visual attention is currently the focus of much research for both biological and artificial systems.This monograph presents a complete computational system for visual attention and object detection: VOCUS (Visual Object detection with a CompUtational attention System) is a system capable of automatically selecting regions of interest in images and detecting specific objects. It represents a major step forward on integrating data-driven and model-driven information into a single framework. Additionally, the volume contains an extensive review of the literature on visual attention, detailed evaluations of VOCUS in different settings, and applications of the system in the context of object recognition and robotics. 236 pp. Englisch.
Verlag: Springer Berlin Heidelberg, 2006
ISBN 10: 3540327592 ISBN 13: 9783540327592
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Object detection and recognition is a topic of significant interest in computer and robot vision. It is required in most applications of computational vision, for example, biometric systems, medical imaging, intelligent cars, factory automation, and image databases.One of the major challenges in designing object recognition systems is to construct methods that are fast and capable of operating on standard computer platforms. The more developed such systems become, the more urgentbecomes the need for a pre-selection system that enables subsequent processing to focus only on relevant data. One mechanism to achieve this is visual attention: it selects regions in a visual scene that are most likely to contain objects of interest. The field of visual attention is currently the focus of much researchfor bothbiological and artificial systems.This monograph presents a complete computational system for visual attention and object detection: VOCUS (Visual Object detection with a CompUtational attention System) is a system capable of automatically selecting regions of interest in images and detecting specific objects. It represents a major step forward on integrating data-driven and model-driven information into a single framework. Additionally, the volume contains an extensive review of the literature on visual attention, detailed evaluations of VOCUS in different settings, and applications of the system in the context of object recognition and robotics.
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In den WarenkorbTaschenbuch. Zustand: Neu. VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search | Simone Frintrop | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2006 | Springer Berlin | EAN 9783540327592 | Verantwortliche Person für die EU: Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.