Generation and Prospects of Development of Portrait Examination Methods Based on Three-Dimensional Images

In the context of rapid technological progress, modern methods of analyzing three-dimensional models become increasingly relevant in the field of portrait identification. This approach integrates advances in machine learning, 3D modeling, and biometric analytics, opening up new horizons for identifying individuals based on anthropological features of appearance.

This article focuses on the historical analysis and prospects for further improvement of portrait examination methods based on 3D models, identification of their strengths and limitations and on discussing potential areas of their practical application as well.

According to the results of a survey conducted among specialists of public and private expert institutions, there is considerable interest on the part of practicing experts in using 3D scanning technologies to form comparative samples during portrait examination in order to increase the objectivity and visual availability of the examination results.

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