Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

The main scope of this chapter is to serve as an introduction to face presentation attack
detection, including key resources and advances in the field in the last few years. The next …

Existing facial expression recognition (FER) methods train encoders with different large-
scale training data for specific FER applications. In this paper, we propose a new task in this …

We propose a discrimination-aware learning method to improve both the accuracy and
fairness of biased face recognition algorithms. The most popular face recognition …

The goal of the project" Facial Metrics for EES" is to develop, implement and publish an
open source algorithm for the quality assessment of facial images (OFIQ) for face …

Face recognition has been widely used for identity verification both in supervised and
unsupervised access control applications. The advancement in deep neural networks has …

Background and objective Patients suffering from Parkinson's disease (PD) present a
reduction in facial movements called hypomimia. In this work, we propose to use machine …

Robust authentication for low-power consumer devices without a keyboard remains a
challenge. The recent availability of low-power neural accelerator hardware, combined with …

Computer vision (CV) technology and convolutional neural networks (CNNs) demonstrate
superior feature extraction capabilities in the field of bioengineering. However, during the …

In this paper, the personalization of the video-based frame-level facial expression
recognition is studied for multi-user systems if a small amount of short videos are available …