Understanding Geometric Algebra

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3D modeling
A01=Kenichi Kanatani
advanced geometry methods
Author_Kenichi Kanatani
Basis Ei
Category=PBF
clifford
Clifford Algebra
Clifford product
conformal
conformal geometry applications
Conformal Transformations
coordinates
Dual Representation
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
fisheye lens camera
Fisheye Lens Cameras
Geometric Algebra
geometric computations
geometric product
geometry
grassmann
Grassmann Algebra
Grassmann-Cayley algebra
grassmanncayley
Hamilton algebra
Hamilton's Quaternion Algebra
Hamilton’s Quaternion Algebra
homogeneous
Homogeneous Coordinates
Image Sphere
imaging mathematics
mathematical physics
multilinear algebra
Oblique Coordinate System
omnidirectional camera
Omnidirectional Cameras
Omnidirectional Image
Origin E0
outer
outer product
Parabolic Mirror
Points P1
product
projective geometry
projective transformations
quaternion
Quaternion Product
Rodrigues Formula
scalar
Scalar Triple Products
spatial reasoning
Stereographic Projection
Symbols E1

Product details

  • ISBN 9781482259506
  • Weight: 550g
  • Dimensions: 178 x 254mm
  • Publication Date: 06 Apr 2015
  • Publisher: Apple Academic Press Inc.
  • Publication City/Country: CA
  • Product Form: Hardback
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Understanding Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision and Graphics introduces geometric algebra with an emphasis on the background mathematics of Hamilton, Grassmann, and Clifford. It shows how to describe and compute geometry for 3D modeling applications in computer graphics and computer vision.

Unlike similar texts, this book first gives separate descriptions of the various algebras and then explains how they are combined to define the field of geometric algebra. It starts with 3D Euclidean geometry along with discussions as to how the descriptions of geometry could be altered if using a non-orthogonal (oblique) coordinate system. The text focuses on Hamilton’s quaternion algebra, Grassmann’s outer product algebra, and Clifford algebra that underlies the mathematical structure of geometric algebra. It also presents points and lines in 3D as objects in 4D in the projective geometry framework; explores conformal geometry in 5D, which is the main ingredient of geometric algebra; and delves into the mathematical analysis of camera imaging geometry involving circles and spheres.

With useful historical notes and exercises, this book gives readers insight into the mathematical theories behind complicated geometric computations. It helps readers understand the foundation of today’s geometric algebra.

Kenichi Kanatani is a professor emeritus at Okayama University. A fellow of IEICE and IEEE, Dr. Kanatani is the author of numerous books on computer vision and applied mathematics. He is also a board member of several journals and conferences.

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