Handbook of 3D Machine Vision: Optical Metrology and Imaging

by Song Zhang (Editor)

Overview

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 Metro

Product Details

ISBN-13:	9781439872208
Publisher:	CRC Press
Publication date:	04/19/2016
Series:	Series in Optics and Optoelectronics
Sold by:	Barnes & Noble
Format:	eBook
Pages:	414
File size:	31 MB
Note:	This product may take a few minutes to download.

About the Author

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.

Table of Contents

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.

Editorial Reviews

"The chapters are well written and offer a uniform high standard of content. … This book should appeal to any academic or industrial researcher, or developer looking to expand their skills into machine vision: it would be particularly useful to any young researcher just starting out. The expert in the field should also find something of interest. The concepts outlined have wider applicability and this is a good place to start for anyone looking for an overview of these technologies."
—John Watson, University of Aberdeen, Optics and Lasers in Engineering

From the Publisher