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3D Rotations - Parameter Computation and Lie Algebra based Optimization (Paperback)
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3D Rotations - Parameter Computation and Lie Algebra based Optimization (Paperback)
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3D rotation analysis is widely encountered in everyday problems
thanks to the development of computers. Sensing 3D using cameras
and sensors, analyzing and modeling 3D for computer vision and
computer graphics, and controlling and simulating robot motion all
require 3D rotation computation. This book focuses on the
computational analysis of 3D rotation, rather than classical motion
analysis. It regards noise as random variables and models their
probability distributions. It also pursues statistically optimal
computation for maximizing the expected accuracy, as is typical of
nonlinear optimization. All concepts are illustrated using computer
vision applications as examples. Mathematically, the set of all 3D
rotations forms a group denoted by SO(3). Exploiting this group
property, we obtain an optimal solution analytical or numerically,
depending on the problem. Our numerical scheme, which we call the
"Lie algebra method," is based on the Lie group structure of SO(3).
This book also proposes computing projects for readers who want to
code the theories presented in this book, describing necessary 3D
simulation setting as well as providing real GPS 3D measurement
data. To help readers not very familiar with abstract mathematics,
a brief overview of quaternion algebra, matrix analysis, Lie
groups, and Lie algebras is provided as Appendix at the end of the
volume.
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