Overview
Contains a comprehensive description of the technology behind both structured light and matricial time-of-flight depth cameras
Presents research-level topics with a self-contained description accessible to students and engineers with basic computer vision knowledge
Includes applications such as skeletal tracking, segmentation, gesture recognition and 3D reconstruction
Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Operating Principles of Depth Cameras
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Front Matter
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Extraction of 3D Information from Depth Cameras Data
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Front Matter
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Applications of Depth Camera Data
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Front Matter
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Back Matter
Keywords
About this book
This book provides a comprehensive overview of the key technologies and applications related to new cameras that have brought 3D data acquisition to the mass market. It covers both the theoretical principles behind the acquisition devices and the practical implementation aspects of the computer vision algorithms needed for the various applications. Real data examples are used in order to show the performances of the various algorithms. The performance and limitations of the depth camera technology are explored, along with an extensive review of the most effective methods for addressing challenges in common applications.
Applications covered in specific detail include scene segmentation, 3D scene reconstruction, human pose estimation and tracking and gesture recognition. This book offers students, practitioners and researchers the tools necessary to explore the potential uses of depth data in light of the expanding number of devices available for sale. It explores the impact of these devices on the rapidly growing field of depth-based computer vision.
Authors and Affiliations
Bibliographic Information
Book Title: Time-of-Flight and Structured Light Depth Cameras
Book Subtitle: Technology and Applications
Authors: Pietro Zanuttigh, Giulio Marin, Carlo Dal Mutto, Fabio Dominio, Ludovico Minto, Guido Maria Cortelazzo
DOI: https://doi.org/10.1007/978-3-319-30973-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30971-2Published: 01 June 2016
Softcover ISBN: 978-3-319-80933-5Published: 30 May 2018
eBook ISBN: 978-3-319-30973-6Published: 24 May 2016
Edition Number: 1
Number of Pages: XII, 355
Number of Illustrations: 39 b/w illustrations, 154 illustrations in colour
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Pattern Recognition