£125.74

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£126 today · all-time low £123 (Sep 2026) · usually £125

Springer Scale-Space Theory in Computer Vision - Springer Series 256

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£126.10 £122.56 £123.33 £124.10 £124.88 £125.65 £126.42 25 July 2026 15 August 2026 06 September 2026 28 September 2026 20 October 2026
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Price range: £123 - £126

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Description

Scale-Space Theory in Computer Vision is a comprehensive academic text exploring how scale interacts with visual perception and computational analysis. Part of The Springer International Series in Engineering and Computer Science volume 256, this book traces the historical development of scale theory from Euclid's foundational work on optics through contemporary computer vision applications. The text examines the fundamental problem of scale across natural sciences and visual arts, presenting rigorous mathematical frameworks alongside practical implementations. Readers will discover how scale-space concepts apply to image processing, feature detection, and multi-resolution analysis. This scholarly work bridges classical geometric principles with modern computational approaches, making it essential reading for researchers, graduate students, and professionals working in computer vision, image analysis, and artificial intelligence who need to understand the theoretical underpinnings of scale-invariant algorithms and hierarchical image representations.

Key Features

Scale-Space Theory in Computer Vision covers historical perspectives from Euclid and classical scholars through contemporary computational methods and applications.

Springer's volume 256 in the International Series provides rigorous mathematical frameworks for understanding scale in visual perception and image analysis.

The text explores cartographic generalization problems and map-making principles that demonstrate practical applications of scale theory.

This academic resource addresses multi-resolution analysis and hierarchical approaches essential for modern computer vision systems.

The book connects classical visual theory with contemporary artificial intelligence and machine learning techniques for image processing.

Springer's engineering and computer science series positions this text as a foundational reference for scale-invariant feature detection algorithms.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 December 2010
Listed Since
06 July 2010

Barcode

No barcode data available

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