Analysis of High Resolution Clouds of Points as a Source of Biometric Data

The article presents the analysis devoted to human face data obtained by means of precise photographic scanners. Collected point clouds were used to make high precision meshes of human face. The essence of these studies is the comparison of relative features as well as the comparison of absolute models which require as precisely as possible matching of face models. The article focuses on the analysis of various parts of the human face, relative to that you can execute matching of models using the ICP algorithm. In order to visualize the accuracy of registration process of selected models under various assumptions, the map of deviations between the models has been created. The authors propose a new method of biometrics analysis which is based on the Mathematical Theory of Evidence. This method aims to identify people.