Abstract-The paper proposes a method for face recognition, which uses a 3D model of the head, which is turned at different angles to extend the size of the training set. Control points are placed on the images, which have been created using the 3D model of the head, and the distance ratios between the control points are stored in the database. Face recognition algorithm would look for two images of faces in the data base which have minimal difference between the turn angles of the head and the distance ratios.

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Abstract-In this paper authors propose a method of bone structure 3D visualization is proposed, which is based on medical images and can separately visualize the cortical and trabecular bone. To visualize the bone structure, the cortical and trabecular bones are first extracted from the medical images using fully automatic image processing methods. The proposed method could be used when analyzing the medical images of patients with osteoporosis, where it is necessary to analyze changes in the microstructure of the bone.