Authors: Hubert Milanowski, Tomasz Bednorz
Supervision: dr hab. inż. Adam Piłat
Author: Hubert Milanowski, Dawid Lech, Mateusz Kwaśny
Supervision: dr hab. inż. Adam Piłat
Author: Hubert Milanowski, Dawid Lech, Mateusz Kwaśny, Natalia Frankowska, Szymon Folek
Supervision: dr hab. inż. Adam Piłat
Author: Paweł Gakan, Dawid Lech, Mateusz Kwaśny, Edyta Malcharek, Piotr Wzorek, Rafał Zalewski
Supervision: dr hab. inż. Adam Piłat
Authors: Zofia Trzaskalik, Patrycja Tokarczyk, Piotr Gołyzniak, Gabriel Filipek, Kamilń, Jakub Pegza, Jakub Jażdżyk Supervision: dr inż. Paweł Rotter
The goal of this project was creation of robot controlled by gesture and able to follow the specific marker but also implementing simple stereo vision algorithm. Our work was possible to achieve thanks to funds from "Grant Rektorski 2017" competition and funds from our faculty.
Authors: Piotr Banaszkiewicz, Wojciech Błachowicz, Rafał Kozik, Filip Kubicz, Mikołaj Mularczyk Wojciech Kleszcz, Mateusz Polański, Bartosz Sowa
Authors: Grzegorz Łojek and Michał Dajda
Supervision: dr inż. Paweł Rotter
The goal of this project is the development of stereovision system for trajectory reconstruction of objects moving at a high speed in 3D space. The computations are performed in Matlab environment. The laboratory station which is being developed in this project includes the calibration pattern, two high-speed cameras (up to 1200 fps) and the software for data analysis and calculation of the trajectory.
Authors: Robert Drab
Supervision: dr inż. Paweł Rotter
In this project we apply stereovision methods for automatic creation of 3-dimentional plans of interiors. At the first stage we develop the algorithms for sparse disparity estimation from a stereo pair. The project focuses on using more than 2 cameras and camera motion for solving the partial obstructions problem. We also plan to do some research on increasing the accuracy of depth estimation by using several cameras. The software is being developed in Matlab environment.
Authors: Piotr Włodarczyk and Krzysztof Skowronek
Supervision: dr inż. Paweł Rotter
In this project we made a small vehicle driven by two independent electrical engines controlled with RS232 interface, equipped with camera. It is connected to a PC with USB cable (image transfer) and RS232 (control data transfer). In the future we plan to replace cables with a cordless connection. Presently we are working on the software for automatic control of the vehicle, especially for obstacles detection and avoidance. In order to facilitate orientation and the reliability of obstacle detection the vehicle has been equipped with several laser pointers.
Authors: Tomasz Dziwiński
Supervision: dr inż. Paweł Rotter
The first stage of this project is a comparison of filtration methods and selection of the best method for enhancing fingerprint images. This stage is necessary for the correct detection of minutiae, which are then used to uniquely identify a person. Faultless minutiae detection requires images of a very high quality, without the noise which always appears in images provided by any type of fingerprint scanners.