Since 2005, human and computer performance has been systematically compared as part of
face recognition competitions, with results being reported for both still and video imagery …

We spontaneously attribute to strangers a wide variety of character traits based on their
facial appearance. While these first impressions have little or no basis in reality, they exert a …

Racial bias is an important issue in biometric, but has not been thoroughly studied in deep
face recognition. In this paper, we first contribute a dedicated dataset called Racial Faces in …

Racial equality is an important theme of international human rights law, but it has been
largely obscured when the overall face recognition accuracy is pursued blindly. More facts …

Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

Previous generations of face recognition algorithms differ in accuracy for images of different
races (race bias). Here, we present the possible underlying factors (data-driven and …

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 …

A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …

This paper studies the influence of demographics on the performance of face recognition
algorithms. The recognition accuracies of six different face recognition algorithms (three …

The issue of ethnic bias has proven to affect the performance of face recognition in previous
works, while it still remains to be vacant in face anti-spoofing. Therefore, in order to study the …