Numerical Analysis of Geometrical Features of 3D Biological Objects, for Three-Dimensional Biometric and Anthropometric Database

Abstract

This article presents application of modal analysis for the computation of data base of biological objects set and extraction of three dimensional geometrical features. Traditional anthropometric database contains information only about some characteristic points recorded as linear or angular dimensions. The current face recognition systems are also based on the two-dimensional information. Such biometric systems are used obviously during passenger control on the airport or boundary crossing. To increase level of security the methods need to operate on three-dimensional data. In the article authors present method of 3D modal analysis for decomposition, extraction features and individual coding of analyzed objects sets. Authors apply empirical modal analysis PCA (Principal Component Analysis) for two types of 3D data: human femur bones and human faces. Additionally for face recognition, as support information, the thermal (infrared) images was tested. In this paper the results of PCA analysis of each type of database were presented and discussed.

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.