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Springer - Active Sensor Planning for Multiview Vision Tasks

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Description

Active Sensor Planning for Multiview Vision Tasks by Springer offers a deep look into the study of active visual perception. This book addresses the challenges of vision sensors that have limited fields of view and can only see a portion of a scene from a single perspective. By focusing on optimal sensor planning strategies, this text provides the methods needed to give robot vision systems the adaptability required for practical applications. Spanning eleven chapters, the content draws on over ten years of important work in robot vision and the use of new concepts. Readers will find both theoretical methods and implementation examples designed for testing within a real robot system. This resource is designed for those studying computer science, AI, and machine learning who need to understand how to manage vision tasks through effective sensor planning.

Key Features

Covers eleven chapters of research based on ten years of important work in the field of robot vision.

Provides theoretical methods for testing sensor planning within real robot systems.

Explores how to manage vision sensors that have limited fields of view and limited scene visibility.

Includes implementation examples to bridge the gap between theory and practical application.

Focuses on optimal sensor planning strategies to increase the adaptability of robot vision systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 November 2014
Listed Since
02 December 2014

Barcode

No barcode data available

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