This book gives a comprehensive overview of the most advanced
theories, methodologies and applications in computer vision.
Particularly, it gives an extensive coverage of 3D and robotic
vision problems. Example chapters featured are Fourier methods for
3D surface modeling and analysis, use of constraints for
calibration-free 3D Euclidean reconstruction, novel photogeometric
methods for capturing static and dynamic objects, performance
evaluation of robot localization methods in outdoor terrains,
integrating 3D vision with force/tactile sensors, tracking via
in-floor sensing, self-calibration of camera networks, etc. Some
unique applications of computer vision in marine fishery,
biomedical issues, driver assistance, are also highlighted.
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