Face Recognition Across the Imaging Spectrum

Embark on a journey through the recent groundbreaking developments in face recognition (FR) systems with our second edition. Initially designed for controlled conditions, FR systems have evolved to conquer real-world challenges, adapting to low-light scenarios and extended distances. Our book delves into the transformation brought about by advancements in imaging sensors and cost-effective infrared (IR) cameras, exploring intensified near-infrared (NIR), shortwave IR (SWIR), middle-wave IR (MWIR), and long-wave IR (LWIR) imagery. This edition caters to the burgeoning interest in FR technologies, aligning with recent strides in computer vision, pattern recognition, and biometric analysis. Tailored for biometrics researchers, practitioners, and students, it addresses the critical need for FR algorithms in operational environments. Our book encompasses three comprehensive sections: (a) Face Recognition and Biometric Systems: Dive into topics such as face profile, facial attractiveness, periocular and binocular recognition, and quality training for face-based examinations. (b) Biometric System Security and Attacks: Explore adversarial attacks, domain transformers, demographic fairness, ocular pathologies, and distance-based classification of biometric images. (c) Biometric Image Synthesis and Technology Enhancements:Uncover the secrets of face image synthesis, thermal band head pose estimation, facial image analysis in forensic examination, and optimal computer monitor configurations. With 13 meticulously crafted chapters, this edition provides updated insights, experimental findings, and a roadmap for the future. Each chapter delivers a rich exploration of its specific topic, weaving together background information, literature reviews, methodologies, experiments, and concluding with challenges and future directions. Elevate your understanding of evolving face recognition technologies the future awaits!

Provides a state-of-the-art survey of face recognition technology across the imaging spectrum Latest in face recognition: mobile-based, forensic aspects, deep fakes, spoofing Written by leading experts in the field

Auteur

Dr. ThirimachosBourlai is an Associate Professor at the School of Electrical and Computer Engineering, University of Georgia. In addition to his academic role, he holds a Joint Appointment with the Savannah River National Labs. Dr. Bourlai serves as an adjunct faculty at West Virginia University (WVU) in the Lane Department of Computer Science and Engineering, as well as in the School of Medicine.He is the founder and director of the Multi-Spectral Imagery Lab and holds significant editorial roles. Dr. Bourlai is a Series Editor for Advanced Sciences and Technologies for Security Applications, an Associate Editor for the Elsevier Pattern Recognition Journal, and the IET Electronics Letters Journal.In the realm of organizational leadership, he is a member of the Board of Directors at the Document Security Alliance, the former VP on Education of the IEEE Biometrics Council, and a member of the Academic Research and Innovation Expert Group of the Biometrics Institute.Dr. Bourlai's substantial research contributions are evident in his authorship of four notable books with Springer, including "Face Recognition Across the Imaging Spectrum" (2016), "Surveillance in Action" (2018), "Securing Social Identity in Mobile Platforms" (2020), and "Disease Control through Social Network Surveillance" (2022). Complementing his innovative work are three patents and a prolific publication record, encompassing over 140 contributions to journals, conferences, book chapters, and magazines in the domains of computer vision, biometrics, and related fields.

Contenu

Chapter 1. Face Profile Biometric Systems: An Overview.- Chapter 2. Using Facial Attractiveness as a Soft Biometric Trait to Enhance Face Recognition Performance.- Chapter 3. An Examination and Comparison of Fairness of Face and Ocular Recognition Across Gender at NIR Spectrum.- Chapter 4. Assessment of Face Recognition Algorithms over Periocular and Binocular Areas of the Human Face to Check Authentication Accuracy in the Event of Occlusion.- Chapter 5. The Effectiveness of Quality Training on Facial Examination and Identification.- Chapter 6. AdvBiom: Adversarial Attacks on Biometric Matchers.- Chapter 7. Heterogeneous Face Recognition with Prepended Domain Transformers.- Chapter 8. Demographic Fairness and Accountability of Audio and Video based Unimodal and Bimodal Deepfake Detectors.- Chapter 9. On Assessing the Impact of Ocular Pathologies on the Performance of Deep Learning Ocular Based Recognition Systems in the Visible and NIR Bands.- Chapter 10. Distance-Based Classification of Biometric Images: Leveraging Deep Learning Models.- Chapter 11. BiFaceGAN: Bimodal Face Image Synthesis.- Chapter 12. On Designing a Head Pose Estimation Approach in the Thermal Band through GAN-based Image Synthesis.- Chapter 13. On Designing an Optimal Configuration and calibration of Computer Monitors for Facial Image Analysis in Forensic Examination.