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Face Recognition Across the Imaging Spectrum

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Cover of 'Face Recognition Across the Imaging Spectrum'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Spectral Imaging of Human Skin Toward Face Recognition
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    Chapter 2 Collection of Multispectral Biometric Data for Cross-spectral Identification Applications
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    Chapter 3 Hyperspectral Face Databases for Facial Recognition Research
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    Chapter 4 MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning
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    Chapter 5 Local Operators and Measures for Heterogeneous Face Recognition
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    Chapter 6 Assessment of Facial Recognition System Performance in Realistic Operating Environments
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    Chapter 7 Understanding Thermal Face Detection: Challenges and Evaluation
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    Chapter 8 Face Recognition Systems Under Spoofing Attacks
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    Chapter 9 On the Effects of Image Alterations on Face Recognition Accuracy
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    Chapter 10 Document to Live Facial Identification
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    Chapter 11 Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey
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    Chapter 12 Face Recognition with RGB-D Images Using Kinect
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    Chapter 13 Blending 2D and 3D Face Recognition
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    Chapter 14 Exploiting Score Distributions for Biometric Applications
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    Chapter 15 Multispectral Ocular Biometrics
Attention for Chapter 14: Exploiting Score Distributions for Biometric Applications
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