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Geometric Computing with Clifford Algebras - Theoretical Foundations and Applications in Computer Vision and Robotics (Paperback, Softcover reprint of hardcover 1st ed. 2001)
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Geometric Computing with Clifford Algebras - Theoretical Foundations and Applications in Computer Vision and Robotics (Paperback, Softcover reprint of hardcover 1st ed. 2001)
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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.
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