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Image of - Geometric Computing with Clifford Algebras Theoretical Foundations and Applications in Computer Vision and Robotics
Geometric Computing with Clifford Algebras Theoretical Foundations and Applications in Computer Vision and Robotics

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

by Sommer

This monograph-like anthology introduces the concepts and framework of Clifford algebra. It provides a rich source of examples of how to work with this formalism. 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 shows that Clifford algebra provides a universal and powerful algebraic framework for an elegant and coherent representation of various problems occurring in computer science, signal processing, neural computing, image processing, pattern recognition, computer vision, and robotics.

Highlights

  • binding-icon

    9783540411987

    ISBN:

  • binding-icon

    Sommer

    Author:

  • binding-icon

    551

    Pages:

  • binding-icon

    210 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2001

    Year:

  • edition-icon

    Standard Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

₹1036

₹1295

This monograph-like anthology introduces the concepts and framework of Clifford algebra. It provides a rich source of examples of how to work with this formalism. 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 shows that Clifford algebra provides a universal and powerful algebraic framework for an elegant and coherent representation of various problems occurring in computer science, signal processing, neural computing, image processing, pattern recognition, computer vision, and robotics.

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