Face Recognition Across the Imaging Spectrum

1st ed. 2016. Buch. xii, 383 S.: 162 s/w-Abbildungen, 34 Farbabbildungen, 48 s/w-Tabelle, 161 Farbtabellen, Bibliographien. Hardcover
Springer ISBN 978-3-319-28499-6
Format (B x L): 15,5 x 23,5 cm
Gewicht: 754 g
In englischer Sprache
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



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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
Herausgegeben von: link iconThirimachos Bourlai