Face Recognition Across the Imaging Spectrum

Face Recognition Across the Imaging Spectrum

Bourlai, Thirimachos

Springer Verlag, Singapore

11/2024

353

Dura

9789819720583

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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.
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Biometrics;Face Recognition;Forensics;Human Identification;Multi-Spectral Imaging