Face Recognition Across the Imaging Spectrum

✍ Scribed by Thirimachos Bourlai (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 388
• Edition: 1
• Category: Library

✦ Synopsis

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

Front Matter....Pages i-xii
An Overview of Spectral Imaging of Human Skin Toward Face Recognition....Pages 1-19
Collection of Multispectral Biometric Data for Cross-spectral Identification Applications....Pages 21-46
Hyperspectral Face Databases for Facial Recognition Research....Pages 47-68
MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning....Pages 69-90
Local Operators and Measures for Heterogeneous Face Recognition....Pages 91-115
Assessment of Facial Recognition System Performance in Realistic Operating Environments....Pages 117-138
Understanding Thermal Face Detection: Challenges and Evaluation....Pages 139-163
Face Recognition Systems Under Spoofing Attacks....Pages 165-194
On the Effects of Image Alterations on Face Recognition Accuracy....Pages 195-222
Document to Live Facial Identification....Pages 223-245
Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey....Pages 247-280
Face Recognition with RGB-D Images Using Kinect....Pages 281-303
Blending 2D and 3D Face Recognition....Pages 305-331
Exploiting Score Distributions for Biometric Applications....Pages 333-353
Multispectral Ocular Biometrics....Pages 355-380
Back Matter....Pages 381-383

✦ Subjects

Biometrics; Forensic Science; Pattern Recognition