This book is an introduction to the fundamental concepts and
tools needed for solving problems of a geometric nature using a
computer. It attempts to fill the gap between standard geometry
books, which are primarily theoretical, and applied books on
computer graphics, computer vision, robotics, or machine
learning.
This book covers the following topics: affine geometry,
projective geometry, Euclidean geometry, convex sets, SVD and
principal component analysis, manifolds and Lie groups, quadratic
optimization, basics of differential geometry, and a glimpse of
computational geometry (Voronoi diagrams and Delaunay
triangulations). Some practical applications of the concepts
presented in this book include computer vision, more specifically
contour grouping, motion interpolation, and robot kinematics.
In this extensively updated second edition, more material on
convex sets, Farkas's lemma, quadratic optimization and the Schur
complement have been added. The chapter on SVD has been greatly
expanded and now includes a presentation of PCA.
The book is well illustrated and has chapter summaries and a
large number of exercises throughout. It will be of interest to a
wide audience including computer scientists, mathematicians, and
engineers.
Reviews of first edition:
"Gallier's book will be a useful source for anyone interested in
applications of geometrical methods to solve problems that arise in
various branches of engineering. It may help to develop the
sophisticated concepts from the more advanced parts of geometry
into useful tools for applications." (Mathematical Reviews,
2001)
..".it will be useful as a reference book for postgraduates
wishing to find the connection between their current problem and
the underlying geometry." (The Australian Mathematical Society,
2001)"
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