Geometric Algebra Computing
in Engineering and Computer Science
1st Edition
Published on 19. May 2010
XXII, 526 pages
978-1-84996-108-0 (ISBN)
Description
This useful text offers new insights and solutions for the development of theorems, algorithms and advanced methods for real-time applications across a range of disciplines. Its accessible style is enhanced by examples, figures and experimental analysis.
Reviews / Votes
From the reviews:
"This book is a result of the edited proceedings of the 2008 conference. It contains many advanced ideas from mathematics, physics, and computer science, and . serve as a reference book on geometric algebra and its applications. . includes numerous color illustrations, and the chapters end with references to the literature. . This book should be treasured for presenting various geometric algebra applications in several areas . . It will be useful to physicists, computer scientists, and engineers. . this is a very useful book." (S. V. Nagaraj, ACM Computing Reviews, February, 2012)
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Other editions
Additional editions
Eduardo Bayro-Corrochano | Gerik Scheuermann
Geometric Algebra Computing
in Engineering and Computer Science
Book
05/2010
1st Edition
Springer
€203.29
Shipment within 15-20 days
Content
Geometric Algebra.- New Tools for Computational Geometry and Rejuvenation of Screw Theory.- Tutorial: Structure-Preserving Representation of Euclidean Motions Through Conformal Geometric Algebra.- Engineering Graphics in Geometric Algebra.- Parameterization of 3D Conformal Transformations in Conformal Geometric Algebra.- Clifford Fourier Transform.- Two-Dimensional Clifford Windowed Fourier Transform.- The Cylindrical Fourier Transform.- Analyzing Real Vector Fields with Clifford Convolution and Clifford-Fourier Transform.- Clifford-Fourier Transform for Color Image Processing.- Hilbert Transforms in Clifford Analysis.- Image Processing, Wavelets and Neurocomputing.- Geometric Neural Computing for 2D Contour and 3D Surface Reconstruction.- Geometric Associative Memories and Their Applications to Pattern Classification.- Classification and Clustering of Spatial Patterns with Geometric Algebra.- QWT: Retrospective and New Applications.- Computer Vision.- Image Sensor Model Using Geometric Algebra: From Calibration to Motion Estimation.- Model-Based Visual Self-localization Using Gaussian Spheres.- Conformal mapping and Fluid Analysis.- Geometric Characterization of Geometric Algebra.- Some Applications of Gröbner Bases in Robotics and Engineering.
