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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 10: Document to Live Facial Identification
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Citations

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3 Mendeley
Summary Dimensions citations
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Chapter title
Document to Live Facial Identification
Chapter number 10
Book title
Face Recognition Across the Imaging Spectrum
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-28501-6_10
Book ISBNs
978-3-31-928499-6, 978-3-31-928501-6
Authors

A. D. Clark, C. Whitelam, T. Bourlai, Clark, A. D., Whitelam, C., Bourlai, T.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Other 1 33%
Lecturer > Senior Lecturer 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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