Many computer scientists, engineers, applied mathematicians, and
physicists use geometry theory and geometric computing methods in
the design of perception-action systems, intelligent autonomous
systems, and man-machine interfaces. This handbook brings together
the most recent advances in the application of geometric computing
for building such systems, with contributions from leading experts
in the important fields of neuroscience, neural networks, image
processing, pattern recognition, computer vision, uncertainty in
geometric computations, conformal computational geometry, computer
graphics and visualization, medical imagery, geometry and robotics,
and reaching and motion planning. For the first time, the various
methods are presented in a comprehensive, unified manner.
This handbook is highly recommended for postgraduate students
and researchers working on applications such as automated learning;
geometric and fuzzy reasoning; human-like artificial vision;
tele-operation; space maneuvering; haptics; rescue robots;
man-machine interfaces; tele-immersion; computer- and
robotics-aided neurosurgery or orthopedics; the assembly and design
of humanoids; and systems for metalevel reasoning.
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