Handbook of 3D machine vision : optical metrology and imaging

edited by Song Zhang

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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[目次]

  • Stereo Vision Soon-Yong Park and Seung-Hae Baek 3D Shapes from Speckle Yuan Hao Huang, Yang Shang, Yusheng Liu, and Hujun Bao Spacetime Stereo Li Zhang, Noah Snavely, Brian Curless, and Steven M. Seitz Stereo Particle Imaging Velocimetry Techniques: Technical Basis, System Setup, and Application Hui Hu Basic Concepts Sergio Fernandez and Joaquim Salvi Digital Holography for 3D Metrology Anand Asundi, Qu Weijuan, Chee Oi Choo, Kapil Dev, and Yan Hao 3D Dynamic Shape Measurement Using the Grating Projection Technique Xianyu Su, Qican Zhang, and Wenjing Chen Interferometry David P. Towers and Catherine E. Towers Superfast 3D Profilometry with Digital Fringe Projection and Phase-Shifting Techniques Laura Ekstrand, Yajun Wang, Nikolaus Karpinsky, and Song Zhang Time-of-Flight Techniques Shoji Kawahito Uniaxial 3D Shape Measurement Yukitoshi Otani Three-Dimensional Ultrasound Imaging Aaron Fenster, Grace Parraga, Bernard Chiu, and Jeff Bax Optical Coherence Tomography for Imaging Biological Tissue Michael K.K. Leung and Beau A. Standish Three-Dimensional Endoscopic Surface Imaging Techniques Jason Geng Biometrics Using 3D Vision Techniques Maria De Marsico, Michele Nappi, and Daniel Riccio Index

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この本の情報

書名 Handbook of 3D machine vision : optical metrology and imaging
著作者等 Zhang Song
シリーズ名 Series in optics and optoelectronics
出版元 CRC Press, Taylor & Francis Group
刊行年月 c2013
ページ数 xiii, 400 p.
大きさ 24 cm
ISBN 9781439872192
NCID BB12893232
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言語 英語
出版国 アメリカ合衆国
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