Geometric Algebra Applications Vol. I Computer Vision, Graphics and Neurocomputing /

The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra. Geometric algebra provides a...

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Bibliographic Details
Main Author: Bayro-Corrochano, Eduardo (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Computational intelligence.
Artificial intelligence.
Image processing > Digital techniques.
Computer vision.
Dynamics.
Nonlinear theories.
Computational Intelligence.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Applied Dynamical Systems.
Online Access:Full-text access
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Table of Contents:
  • Fundamentals of Geometric Algebra
  • Euclidean, Pseudo-Euclidean Geometric Algebra, Incidence Algebra and Conformal Geometric Algebras
  • Geometric Computing for Image Processing, Computer Vision, and Neural Computing
  • Machine Learning
  • Applications of Geometric Algebra in Image Processing, Graphics and Computer Vision
  • Applications of GA in Machine Learning
  • Appendix.

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