With the ongoing release of 3D movies and the emergence of 3D
TVs, 3D imaging technologies have penetrated our daily lives. Yet
choosing from the numerous 3D vision methods available can be
frustrating for scientists and engineers, especially without a
comprehensive resource to consult. Filling this gap, Handbook of 3D
Machine Vision: Optical Metrology and Imaging gives an extensive,
in-depth look at the most popular 3D imaging techniques. It focuses
on noninvasive, noncontact optical methods (optical metrology and
imaging).
The handbook begins with the well-studied method of stereo
vision and explains how random speckle patterns or space-time
varying patterns substantially improve the results of stereo
vision. It then discusses stereo particle image velocimetry as a
major experimental means in fluid dynamics, the robust and
easy-to-implement structured-light technique for computer science
applications, digital holography for performing micro- to nanoscale
measurements, and grating, interferometry, and fringe projection
techniques for precisely measuring dynamically deformable natural
objects.
The book goes on to describe techniques that do not require
triangulation to recover a 3D shape, including time-of-flight
techniques and uniaxial 3D shape measurement, as well as 3D
measurement techniques that are not restricted to surface capture,
such as 3D ultrasound, optical coherence tomography, and 3D
endoscopy. The book also explores how novel 3D imaging techniques
are being applied in the promising field of biometrics which may
prove essential to security and public safety.
Written by key players in the field and inventors of important
imaging technologies, this authoritative, state-of-the-art handbook
helps you understand the core of 3D imaging technology and choose
the proper 3D imaging technique for your needs. For each technique,
the book provides its mathematical foundations, summarizes its
successful applications, and discusses its limitations. "
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