The application of geometric algebra to the engineering sciences
is a young, active subject of research. The promise of this field
is that the mathematical structure of geometric algebra together
with its descriptive power will result in intuitive and more robust
algorithms.
This book examines all aspects essential for a successful
application of geometric algebra: the theoretical foundations, the
representation of geometric constraints, and the numerical
estimation from uncertain data. Formally, the book consists of two
parts: theoretical foundations and applications. The first part
includes chapters on random variables in geometric algebra, linear
estimation methods that incorporate the uncertainty of algebraic
elements, and the representation of geometry in Euclidean,
projective, conformal and conic space. The second part is dedicated
to applications of geometric algebra, which include uncertain
geometry and transformations, a generalized camera model, and pose
estimation.
Graduate students, scientists, researchers and practitioners
will benefit from this book. The examples given in the text are
mostly recent research results, so practitioners can see how to
apply geometric algebra to real tasks, while researchers note
starting points for future investigations. Students will profit
from the detailed introduction to geometric algebra, while the text
is supported by the author's visualization software, CLUCalc,
freely available online, and a website that includes downloadable
exercises, slides and tutorials.
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