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Face Recognition Across the Imaging Spectrum
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Artikel-Nr:
9783319285016
Veröffentl:
2016
Einband:
eBook
Seiten:
383
Autor:
Thirimachos Bourlai
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
This authoritative text/reference presents acomprehensive review of algorithms and techniques for face recognition (FR),with an emphasis on systems that can be reliably used in operationalenvironments. Insights are provided by an international team of pre-eminentexperts into the processing of multispectral and hyperspectral face imagescaptured under uncontrolled environments. These discussions cover a variety ofimaging sensors ranging from state-of-the-art visible and infrared imagingsensors, to RGB-D and mobile phone image sensors. A range of differentbiometric modalities are also examined, including face, periocular and iris. Thistimely volume is a mine of useful information for researchers, practitionersand students involved in image processing, computer vision, biometrics andsecurity.
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.
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.