Handbook of 3D Machine Vision (eBook, PDF)

Optical Metrology and Imaging
Redaktion: Zhang, Song

• Format: PDF

Produktbeschreibung

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, this handbook gives an in-depth look at the most popular 3D imaging techniques. Written by key players in the field and inventors of important imaging technologies, it 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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 414
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781439872208
• Artikelnr.: 39042753

Autorenporträt

Dr. Song Zhang is an assistant professor of mechanical engineering at Iowa State University. His research interests include the fundamental physics of optical metrology, new mathematical and computational tools for 3D shape analysis, and designing superfast 3D imaging and sensing techniques. A recipient of the NSF CAREER award in 2012, Dr. Zhang has published over 40 peer-reviewed journal articles and authored four book chapters. He is a reviewer for over 20 international journals, a committee member for numerous conferences, and a cochair for several conferences.

Inhaltsangabe

Stereo Vision. 3D Shapes from Speckle. Spacetime Stereo. Stereo Particle
Imaging Velocimetry Techniques: Technical Basis, System Setup, and
Application. Basic Concepts.Digital Holography for 3D Metrology. 3D Dynamic
Shape Measurement Using the Grating Projection Technique. Interferometry.
Superfast 3D Profilometry with Digital Fringe Projection and Phase-Shifting
Techniques. Time-of-Flight Techniques. Uniaxial 3D Shape Measurement.
Three-Dimensional Ultrasound Imaging. Optical Coherence Tomography for
Imaging Biological Tissue. Three-Dimensional Endoscopic Surface Imaging
Techniques. Biometrics Using 3D Vision Techniques. Index.