Image Processing: Comparative Analysis of Face Processing by AI and Humans.

We deal with dozens of human faces every day, including those of our relatives, friends, colleagues and the many familiar faces of media celebrities. Dealing with faces is quite a complex task involving a plethora of factors that affect their recognition such as viewing angle, illumination, face expressions affected by emotions and speech movements. Despite the considerable empirical study, the human face is still in the focus of researchers’ attention, and the development of technical and methodological research methods has led to an increase in the number of fundamental and applied research. Face perception is a rather extensive area that requires an interdisciplinary approach uniting social, biological and technical sciences. A deep understanding of face perception will, in its turn, help us create more precise and applicable computer algorithms aimed at face processing. For this reason, experimental research is required to deeper understand the face perception mechanisms. Our short investigation showed that the main distinction between human and AI face processing lies in the way people and machines deal with the information they receive. While AI works with the image as a whole, humans distinguish certain aspects of the face image and work with them. It is clearly seen when memorizing something. We hope that our conclusions could be corroborated by creating algorithms that will imitate the human mind and conducting comparative studies involving humans and AI.