Overview
- Reviews the major operational problems and current solutions in the area of human identification
- Presents a specific focus on face biometrics using sensors that cover the electromagnetic spectrum more broadly than visible-band cameras
- Demonstrates how multi-spectral facial recognition technology can be used in a real-world setting
- Includes supplementary material: sn.pub/extras
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About this book
This authoritative text/reference presents a
comprehensive review of algorithms and techniques for face recognition (FR),
with an emphasis on systems that can be reliably used in operational
environments. Insights are provided by an international team of pre-eminent
experts into the processing of multispectral and hyperspectral face images
captured under uncontrolled environments. These discussions cover a variety of
imaging sensors ranging from state-of-the-art visible and infrared imaging
sensors, to RGB-D and mobile phone image sensors. A range of different
biometric modalities are also examined, including face, periocular and iris. This
timely volume is a mine of useful information for researchers, practitioners
and students involved in image processing, computer vision, biometrics and
security.
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
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Bibliographic Information
Book Title: Face Recognition Across the Imaging Spectrum
Editors: Thirimachos Bourlai
DOI: https://doi.org/10.1007/978-3-319-28501-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-80365-4Published: 21 March 2019
eBook ISBN: 978-3-319-28501-6Published: 12 February 2016
Edition Number: 1
Number of Pages: XII, 383
Number of Illustrations: 162 b/w illustrations, 34 illustrations in colour
Topics: Biometrics, Forensic Science, Pattern Recognition