£118.05

Springer Multi-Scale Computer Vision Theory and Applications

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Description

Explore advanced concepts in computational imaging with Front-End Vision and Multi-Scale Image Analysis. Part of the Computational Imaging and Vision series, this volume provides a deep look into multi-scale computer vision theory and practical applications. This text addresses the complex problem of finding optic flow fields within image sequences. It examines the major classes of optic flow computation, including gradient-based (differential) methods, phase-based (frequency domain) methods, correlation-based (area) methods, and feature point (sparse data) tracking methods. The content focuses on computing optic flow as a dense optic flow field using a multi-scale differential method. This approach builds upon foundational work, such as the methods originally proposed by Florack and Nielsen. It is a technical resource designed for those studying AI, machine learning, and computer science through the lens of computational imaging.

Key Features

Covers major classes of optic flow computation including gradient, phase, and correlation-based methods.

Expertly published by Wiley for professionals in medical, healthcare, and pharmacological fields.

Focuses on computing dense optic flow fields using multi-scale differential methods.

Part of the specialized Computational Imaging and Vision series from Springer.

Explores computer vision theory through practical applications and mathematical frameworks.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 September 2003
Listed Since
09 December 2006

Barcode

No barcode data available

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