Institute of Information Theory and Automation

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Projects

Dept.: ZOI Duration: 2019 - 2022
Main goal of the project is to develop a new tool for fast and comparatively cheap inspection of bridge structures as a critical part of transport infrastructure, demanding periodic monitoring to ensure traffic safety. This goal will be achieved by developing a sophisticated technology based on radar interferommetry to detect and quickly analyse dynamic and gradual deformations of the bridge...
Dept.: ZOI Duration: 2019 - 2021
The aim of the VKG 3.0 project is a new system for the diagnosis of vocal disorders, consisting of a new type of multi-line video camera and data processing software. The camera will allow to capture the vocal cords in a mode that detects their movement in several places at the same time, so the expert will have better idea of the vocal behavior and thus the ability to effectively make the...
Dept.: ZOI Duration: 2019 - 2020
Bilateral cooperation with University of Antwerp: Separating the invisible from the visible: mixture analysis of macroscopic elemental maps of valuable paintings
Dept.: ZOI Duration: 2018 - 2022
PROVENANCE is an intermediary-free solution that gives greater control to users of social media and underpins the dynamics of social sharing in values of trust, openness, and fair participation. PROVENANCE will use blockchain to record multimedia content that is uploaded and registered by content creators or identified for registration by the PROVENANCE Social Network Monitor. The scientific and...
Dept.: ZOI Duration: 2018 - 2019
The aim of our project is to create a software system to support speech therapy for adults and children with inborn and acquired motor speech disorders. The planned system focuses on individual treatment using exercises that improve tongue motion and thus articulation. The system will offer adjustable set of exercises recommended by a therapist, motivation by using augmented reality,...
Dept.: ZOI Duration: 2018 - 2020
The goal of the project is to develop new methods for colour image acquisition and processing and to apply the results of this research in selected practical applications. The project is aimed at colour image with high colour resolution, with up to several tens colour components. To reach the goal, it is necessary to address three main areas: first, to analyze the imaging systems and resulting...
Dept.: ZOI Duration: 2018 - 2020
Objects moving fast with respect to the camera appear blurred when observed. Surprisingly this common phenomenon has not yet been considered and analyzed by the computer vision community. It is the blur that encodes information about the object motion properties. Instead of considering blur as a nuisance, the project proposes to take it as a cue for detection and tracking of fast moving objects...
Dept.: ZOI Duration: 2018 - 2021
The topic of this project is to develop efficient algorithms for robust image description and for recovering a clear image from its degraded version. By means of moment theory, we demonstrate the original image reconstruction from its blurry copy with the convolution model. The first phase of the project involves an analytical representation of motion blur in moment domain which leads to...
Dept.: ZOI Duration: 2018 - 2021
The proposal falls into the area of computer image analysis and pattern recognition. It is focused on special type of data - multidimensional vector and tensor fields. Vector fields may describe particle velocity, optical/motion flow, image gradient, deformation/condutivity/diffusion tensors, and other phenomena. Each pixel value is a vector/tensor whose components cannot be treated...