£121.30

Springer Data Fusion for Sensory Information Processing Systems

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Description

Explore the fundamental science behind artificial sensory systems with this specialized volume from the Springer International Series in Engineering and Computer Science. This book addresses the core challenge of how information about the world is extracted from sensory data, providing a deep look into the methodologies used to transform raw data into meaningful knowledge. Readers will examine how computational vision works to distill information and recognize objects within an environment, such as through the analysis of photographs or video frames. The text covers the various ways specific pieces of information can be obtained from sensory data, making it a valuable resource for those studying the development of algorithms for localization and recognition. Whether you are researching how systems perceive their surroundings or looking for advanced methods in information extraction, this publication provides a technical foundation for understanding complex sensory processing.

Key Features

Focuses on the development of artificial sensory systems and how they extract world information from raw sensory data.

Covers computational vision techniques for distilling information and recognizing objects in various environments.

Explains the use of algorithms for localization and object recognition from visual images like video frames and photographs.

Part of the Springer International Series in Engineering and Computer Science, providing a standardized academic framework.

Provides technical insights into the multiple methods available for obtaining specific information from sensory datasets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 July 1990
Listed Since
15 February 2007

Barcode

No barcode data available

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