This research group deals with 3D reconstruction of organs from digital medical images obtained by a CT device. The resulting 3D model is used to better predict the health status of patients. In addition to the organs obtained by CT devices, bone retopology is obtained from large point clouds, providing smooth surfaces to identify deformations.
In addition to healthcare, this group deals with laser analysis of 3D models of cultural goods obtained by laser scanning, which are then processed by smoothing and interpolation algorithms for the purpose of their digital display. We develop a system for assisting blind and partially sighted people based on computer image processing in real time.
In terms of this, specific objects (stairs and pedestrian crossings) that are of great importance for the movement in space are detected. In-room directional sounding is performed. The group is developing virtual applications that would help people overcome obstacles in the environment with minimal dangers, e.g. educating children to cross the road in varying traffic density. Research is also being conducted in the direction of neural networks and their evolution through extended topology for the purpose of machine learning in games to reach the solution.
