£122.83

Springer Data Fusion for Sensory Information Processing Systems

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Description

This academic text explores the science of developing artificial sensory systems and extracting meaningful information from sensory data. The book examines computational vision techniques for distilling world information and recognising objects from visual images such as photographs and video frames. Part of The Springer International Series in Engineering and Computer Science volume 105, this publication from Kluwer Academic Publishers addresses the fundamental challenges of interpreting sensory information across multiple domains. It provides comprehensive coverage of algorithms and methodologies for processing and fusing data from various sensory sources, offering essential insights for researchers and engineers working on artificial perception systems and machine learning applications.

Key Features

Published by Kluwer Academic Publishers as volume 105 in The Springer International Series in Engineering and Computer Science.

Covers computational vision algorithms and techniques for extracting object information and localisation from visual images.

Examines sensory data processing and methods for obtaining world information from multiple sensory sources.

Addresses artificial sensory systems development and the science behind creating machines that perceive their environment.

Product Specifications

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

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