Name: Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing (en Inglés)
Price: 222.93 USD
Availability: InStock
Author: Bayro-Corrochano, Eduardo
ISBN: 9783030090852

portada Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing (en Inglés)

Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing (en Inglés)

Formato

Libro Físico

Autor

Eduardo Bayro-Corrochano

Editorial

Springer

Idioma

Inglés

N° páginas

742

Encuadernación

Tapa Blanda

ISBN13

9783030090852

Categorías

Ingeniería: general
Reconocimiento de formas
Visión por ordenador
Procesamiento de imágenes

Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing (en Inglés)

Eduardo Bayro-Corrochano (Autor) · Springer · Tapa Blanda

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Reseña del libro "Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing (en Inglés)"

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 rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry. By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems.