The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

Inspired by the primate visual system, deep convolutional neural networks (DCNNs) have
made impressive progress on the complex problem of recognizing faces across variations of …

A key goal of computer vision researchers is to create automated face recognition systems
that can equal, and eventually surpass, human performance. To this end, it is imperative that …

We are able to recognise familiar faces easily across large variations in image quality,
though our ability to match unfamiliar faces is strikingly poor. Here we ask how the …

It has been known for many years that identifying familiar faces is much easier than
identifying unfamiliar faces, and that this familiar face advantage persists across a range of …

The uncanny valley hypothesis (Mori,) predicts differential experience of negative and
positive affect as a function of human likeness. Affective experience of humanlike robots and …

Proč se nám zdá obloha modrá? Jakou výhodu nám dávají dvě oči? Co o vnímání prozrazují
oční pohyby? Skutečně vidí psi černobíle? Proč nám připadají Asiati navzájem podobní …

Historical trends in face perception research during the past half century are summarized.
The dual process model offered by cognitive neuroscientists to account for the perception of …

The use of computer-generated (CG) stimuli in face processing research is proliferating due
to the ease with which faces can be generated, standardised and manipulated. However …

Much of the existing face recognition systems operate in 2D. As the search for improved
recognition performance intensifies, alternative methods, eg, 3D, are under consideration …