By David Hestenes, Hongbo Li, Alyn Rockwood (auth.), Gerald Sommer (eds.)

Clifford algebra, then known as geometric algebra, used to be brought greater than a cenetury in the past through William okay. Clifford, development on paintings by means of Grassmann and Hamilton. Clifford or geometric algebra indicates robust unifying facets and grew to become out within the Nineteen Sixties to be a so much sufficient formalism for describing diverse geometry-related algebraic platforms as specializations of 1 "mother algebra" in a number of subfields of physics and engineering. contemporary paintings outlines that Clifford algebra presents a common and powerfull algebraic framework for a sublime and coherent illustration of assorted difficulties occuring in machine technology, sign processing, neural computing, snapshot processing, trend acceptance, laptop imaginative and prescient, and robotics. This monograph-like anthology introduces the thoughts and framework of Clifford algebra and offers machine scientists, engineers, physicists, and mathematicians with a wealthy resource of examples of the way to paintings with this formalism.

**Read Online or Download Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics PDF**

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**Extra info for Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics**

**Sample text**

2. n or, equivalently, a set of real coordinates. One trouble with this model is that, algebraically, the origin is a distinguished element, whereas all the points of lEn are identical. This deficiency in the vector space model was corrected early in the 19th century by removing the origin from the plane and placing it one dimension higher. Formally, that was done by introducing homogeneous coordinates [110]. The vector space model also lacks adequate representation for Euclidean points or lines at infinity.

For the case e· s = 0, we observe that the component of s in lR n is given by s = pl (s) = (s II E) E = s + (s . eo) e . 64) 2. Generalized Homogeneous Coordinates for Computational Geometry 41 where n 2 = 1 and 0 = -s . eo/I s I. Set 1s 1= 1. The equation for a point x on the surface S (s) is then x·s=n·x-O=O. 65) This is the equation for a hyperplane in jRn with unit normal n and signed distance 0 from the origin. Since x . e = 0, the "point at infinity" e lies on S( s). Therefore, a hyperplane lEn can be regarded as a sphere that "passes through" the point at infinity.

New Algebraic Tools for Classical Geometry fB f(B) = = oA(Af(B)). 55) We are now equipped to formulate the fundamental theorem: A· (IB) = f[U A)· B] or (IB)· A = f[B. fA]. 56) for (grade A) S (grade B). This theorem, first proved in [113], is awkward to formulate without geometric algebra, so it seldom appears (at least in full generality) in the literature on linear algebra. It is important because it is the most general transformation law for inner products. Outermorphisms generalize and simplify the theory of determinants.