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Full Description
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.
Contents
An Overview of Spectral Imaging of Human Skin toward Face Recognition.- Collection of Multi-Spectral Biometric Data for Cross-Spectral Identification Applications.- Hyperspectral Face Databases for Facial Recognition Research.- MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning.- Local Operators and Measures for Heterogeneous Face Recognition.- Assessment of Facial Recognition System Performance in Realistic Operating Environments.- Understanding Thermal Face Detection: Challenges and Evaluation.- Face Recognition Systems under Spoofing Attacks.- for Biometric Applications.- Multispectral Ocular Biometrics.
