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Springer Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics

Name: Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics
Brand: Springer

AI & Machine Learning

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Clifford algebra, then called geometric algebra, was introduced more than a cenetury ago by William K. Clifford, building on work by Grassmann and Hamilton. Clifford or geometric algebra shows strong unifying aspects and turned out in the 1960s to be a most adequate formalism for describing different geometry-related algebraic systems as specializations of one "mother algebra" in various subfields of physics and engineering. Recent work outlines that Clifford algebra provides a universal and powerfull algebraic framework for an elegant and coherent representation of various problems occuring in computer science, signal processing, neural computing, image processing, pattern recognition, computer vision, and robotics. This monograph-like anthology introduces the concepts and framework of Clifford algebra and provides computer scientists, engineers, physicists, and mathematicians with a rich source of examples of how to work with this formalism.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3540411984
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 22 May 2001
Listed Since: 06 February 2007

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Springer Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics

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