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

Theoretical Foundations and Applications in Computer Vision and Robotics

By: Gerald Sommer (Editor)

Write A Review

Hardcover | 1 June 2001

At a Glance

Hardcover
572 Pages

Dimensions(cm)
23.39 x 15.6 x 3.18

Hardcover

$296.11

or 4 interest-free payments of $74.03 with

Aims to ship in 7 to 10 business days

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.

Industry Reviews

From the reviews:

"This monograph-like anthology presents a collection of contributions concerning the problem of solving geometry related problems with suitable algebraic embeddings. It is not only directed at scientists who have already discovered the power of Clifford algebras ... but also at those scientists who are interested in Clifford algebras ... . Therefore, an effort is made to keep this book accessible to newcomers ... while still presenting up to date research and new developments. ... The 21 coherently written chapters cover all relevant issues ... ." (Vasily A. Chernecky, Mathematical Reviews, Issue 2003 m)

"This is a collection of contributions which describe the solution of geometry-related problems by suitable algebraic embeddings, especially into Clifford algebras. ... this book can serve as a reference to the state of the art concerning the use of Clifford algebras as a frame for geometric computing." (H. G. Feichtinger, Monatshefte fur Mathematik, Vol. 140 (4), 2003)

"Clifford Algebras were introduced by W. K. Clifford in 1878. ... The book is a collection of 21 chapters/papers written by experts in the field. These 21 papers are coherently written and the book can be read almost like a monograph. ... The book is clearly written and well structured. It is recommended to mathematicians, physicists, computer scientists, engineers, and ... to graduate students." (K. Gurlebeck, Zeitschrift fur Analysis und ihre Anwendungen, Vol. 21 (4), 2002)

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Mathematics Algebra Computing & I.T.Computer Science Image Processing Geometry Algebraic Geometry Groups & Group Theory Artificial Intelligence Computer Vision Graphical & Digital Media Applications

Databases Data Capture & Analysis

A Unified Algebraic Approach for Classical Geometries
New Algebraic Tools for Classical Geometry
Generalized Homogeneous Coordinates for Computational Geometry
Spherical Conformal Geometry with Geometric Algebra
A Universal Model for Conformal Geometries of Euclidean
Spherical and Double-Hyperbolic Spaces
Geo-MAP Unification
Honing Geometric Algebra for Its Use in the Computer Sciences
Algebraic Embedding for Signal Theory and Neural Computation
Spatial-Color Clifford Algebras for Invariant Image Recognition
Non-commutative Hypbercomplex Fourier Transforms of Multidimensional Signals
Commutative Hypercomplex Fourier Transforms of Mulitdimensional Signals
Fast Algorithms fo Hypercomplex Fourier Transforms
Local Hypercomplex Signal Representations and Applications
Introduction to Neural Computation in Clifford Algebra
Clifford Algebra Mulitlayer Perceptrons, etc
Table of Contents provided by Publisher. All Rights Reserved.

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

Theoretical Foundations and Applications in Computer Vision and Robotics

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Artificial Intelligence

Co-Intelligence

Living and Working with AI

The ChatGPT Revolution

2nd Edition - Get Curious, Get Productive and Get Creative with AI

AI Snake Oil

What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference

Fuzzy Methods for Assessment and Decision Making

The AI Lead

Overcoming Data Drag to Accelerate Digital Dominance

The AI Lead

Overcoming Data Drag to Accelerate Digital Dominance

Networks, Markets & People

Communities, Institutions and Enterprises Towards Post-humanism Epistemologies and AI Challenges, Volume 6

Text Mining

Concepts, Implementation, and Big Data Challenge

Spiking Neural P Systems

Theory, Applications and Implementations

How We Learn

The New Science of Education and the Brain

This is Service Design Doing

Applying Service Design Thinking in the Real World

Machine Learning with Python Cookbook

2nd Edition - Practical Solutions from Preprocessing to Deep Learning

Artificial Intelligence

A Modern Approach, 4th Global Edition

Life 3.0

Being Human in the Age of Artificial Intelligence

Code Dependent

Living in the Shadow of AI - Shortlisted for the Women's Prize for Non-Fiction

R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

Generative AI For Dummies

For Dummies (Business & Personal Finance)

Machines Behaving Badly

The Morality of AI

Scary Smart

The Future of Artificial Intelligence and How You Can Save Our World

2054

A Novel

Deep Utopia

Generative Deep Learning

Teaching Machines To Paint, Write, Compose, and Play

Natural Language Processing with Transformers, Revised Edition

Scary Smart

The Future of Artificial Intelligence and How You Can Save Our World

This product is categorised by