The use of computer vision to determine reference points when evaluating the geometry of a face

The use of computer vision to determine the geometry of a face using reference points is a relatively new approach in medicine. The relevance of this study is due not only to the need to develop new methods and approaches in determining the geometry of the face, but also to the growing interest in the development and application of artificial intelligence in medicine. The research objective. The purpose of this article is to develop mathematical and neural network algorithms that determine the geometry of a face using reference points. Material and methods. To train the neural network, a small sample of 1,000 marked-up photos in the public domain was used, which depict a full-face portrait of a man up to his shoulders. Only adult (18+) representatives of the Caucasian race were considered. The photos were marked up using the LabelImg 1.8.6 graphical image analysis tool, in which the areas of finding (classes of definition) of reference points were manually marked in the graphical interface mode. YOLO 8 was chosen as the neural network architecture.