Titlebook: Deep Biometrics; Richard Jiang,Chang-Tsun Li,Christophe Rosenberger Book 2020 Springer Nature Switzerland AG 2020 Deep Learned Biometric.C

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Person Re-identification with Soft Biometrics Through Deep Learning, video surveillance systems, it is difficult to obtain these features due to the low resolution of surveillance footages and unconstrained real-world environments. As a result, most of the existing person re-identification techniques only focus on overall visual appearance. Recently, the use of soft

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Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelli. In this chapter, we investigate the facial landmark detection for atypical 3D facial modelling in facial palsy cases, while potentially such modelling can assist the medical diagnosis using atypical facial features. In our work, a study of landmarks localisation methods such as stacked hourglass n

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Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches,n attacks, so-called spoofing attacks. Therefore, it is important to develop techniques to automatically detect those attacks referred to as presentation attack detection (PAD) mechanisms. It is also important that these PAD mechanisms have to be seamlessly integrated into existing face recognition

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Developing Cloud-Based Intelligent Touch Behavioral Authentication on Mobile Phones,hanisms to protect users’ private information. The majority of smartphones offers a touchscreen where users can perform various touch actions. Thus, touch behavioral authentication is considered to be an important way to complement the existing textual passwords. Most behavioral schemes usually adop

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Deep Spectral Biometrics: Overview and Open Issues,ems function by acquiring images in various sub-bands of the electromagnetic spectrum. These systems recently gained traction for their use in applications such as defense, nighttime surveillance and airport security. Spectral biometric systems have shown promise since they are resistant to spoof at