Face Recognition Across the Imaging Spectrum
Editors: Bourlai, Thirimachos (Ed.)
Free Preview- 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
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- About this book
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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.
- Table of contents (15 chapters)
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An Overview of Spectral Imaging of Human Skin Toward Face Recognition
Pages 1-19
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Collection of Multispectral Biometric Data for Cross-spectral Identification Applications
Pages 21-46
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Hyperspectral Face Databases for Facial Recognition Research
Pages 47-68
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MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning
Pages 69-90
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Local Operators and Measures for Heterogeneous Face Recognition
Pages 91-115
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Table of contents (15 chapters)
- Download Preface 1 PDF (79 KB)
- Download Sample pages 2 PDF (1.1 MB)
- Download Table of contents PDF (60.6 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Face Recognition Across the Imaging Spectrum
- Editors
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- Thirimachos Bourlai
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-28501-6
- DOI
- 10.1007/978-3-319-28501-6
- Hardcover ISBN
- 978-3-319-28499-6
- Softcover ISBN
- 978-3-319-80365-4
- Edition Number
- 1
- Number of Pages
- XII, 383
- Number of Illustrations
- 162 b/w illustrations, 34 illustrations in colour
- Topics
