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Springer Soft Computing Techniques in Vision Science - Springer

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Description

This comprehensive volume from Springer explores soft computing techniques applied to vision science, featuring contributions from leading experts in the field. The book covers essential topics including frequent pattern mining and 4D stereo camera systems, bridging computational solutions with optical science and engineering. Designed for researchers and practitioners, it addresses emerging applications in optics, ophthalmology, optical systems, surveillance cameras, and nano-optical devices. The collection presents state-of-the-art methods for optimising optical configurations and advancing vision-based technologies. Part of the Studies in Computational Intelligence series (volume 395), this edited volume provides a unique scientific perspective on the intersection of soft computing and vision science, making it valuable for those working in AI, machine learning, and optical engineering.

Key Features

Soft computing techniques applied to vision science with research from leading domain experts.

Covers 4D stereo camera systems and frequent pattern mining methodologies for vision applications.

Addresses optical system optimisation, surveillance cameras, and nano-optical device development.

Published by Springer as part of Studies in Computational Intelligence series, volume 395.

Bridges computational intelligence with ophthalmology, optics, and optical science research.

Explores soft computing solutions for emerging vision science applications and technologies.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 April 2014
Listed Since
25 April 2014

Barcode

No barcode data available

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