Face images appearing in multimedia applications, eg, social networks and digital
entertainment, usually exhibit dramatic pose, illumination, and expression variations …

Face images captured in unconstrained environments usually contain significant pose
variation, which dramatically degrades the performance of algorithms designed to recognize …

The prevalent commercial deployment of mobile biometrics as a robust authentication
method on mobile devices has fueled increasingly scientific attention. Motivated by this, in …

For face authentication to become widespread on mobile devices, robust countermeasures
must be developed for face presentation-attack detection (PAD). Existing databases for …

As mobile devices are becoming more ubiquitous, it becomes important to continuously
verify the identity of the user during all interactions rather than just at login time. This paper …

Facial attribute analysis has received considerable attention when deep learning techniques
made remarkable breakthroughs in this field over the past few years. Deep learning based …

We present a method using facial attributes for continuous authentication of smartphone
users. We train a bunch of binary attribute classifiers which provide compact visual …

Face biometrics have attracted significant attention as a technology for secure access to
mobile devices. This is because almost all smartphones have RGB cameras suitable for …

Face detection and recognition benchmarks have shifted toward more difficult environments.
The challenge presented in this paper addresses the next step in the direction of automatic …

In this paper, we describe a novel Privacy Preserving Biometric Authentication (PPBA)
system designed for Mobile Edge Computing (MEC) and multimodal biometrics. We focus …