Description
Face Recognition Across the Imaging Spectrum, Softcover reprint of the original 1st ed. 2016
Coordinator: Bourlai Thirimachos
Language: EnglishPublication date: 03-2019
383 p. · 15.5x23.5 cm · Paperback
Publication date: 02-2016
Support: Print on demand
Description
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An Overview of Spectral Imaging of Human Skin toward Face Recognition
David W. Allen
Collection of Multi-Spectral Biometric Data for Cross-Spectral Identification Applications
Jeremy M. Dawson, Seth C. Leffel, Cameron Whitelam, and Thirimachos Bourlai
Hyperspectral Face Databases for Facial Recognition Research
Woon Cho, Andreas Koschan, and Mongi A. Abidi
MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning
Shuowen Hu, Nathaniel J. Short, Prudhvi K. Gurram, Kristan P. Gurton, and Christopher Reale
Local Operators and Measures for Heterogeneous Face Recognition
Zhicheng Cao, Natalia A. Schmid, and Thirimachos Bourlai
Kevin R. Leonard
Understanding Thermal Face Detection: Challenges and Evaluation
Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, and Mayank Vatsa
Face Recognition Systems under Spoofing Attacks
Ivana Chingovska, Nesli Erdogmus, André Anjos, and Sébastien Marcel
On the Effects of Image Alterations on Face Recognition Accuracy
Matteo Ferrara, Annalisa Franco, and Davide Maltoni
Document to Live Facial Identification
Antwan D. Clark, Cameron Whitelam, and Thirimachos Bourlai
Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey
Manuel Günther, Laurent El Shafey, and Sébastien Marcel
Gaurav Goswami, Mayank Vatsa, and Richa Singh
Blending 2D and 3D Face Recognition
Massimo Tistarelli, Marinella Cadoni, Andrea Lagorio, and Enrico Grosso
Exploiting Score Distributions for Biometric Applications
Panagiotis Moutafis and Ioannis A. Kakadiaris
Multispectral Ocular Biometrics
Simona G. Crihalmeanu and Arun A. Ross
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
Includes supplementary material: sn.pub/extras