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Institute of Information Theory and Automation
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Projects
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
- 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...
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: 2017
- 2019
The basis of the project is the implementation of Industry 4.0 principles during production and repairs of constructional layers of surface transportation.The aim is the automation and optimization of the technological process of measuring and processing data about the surface of ground transportation by virtualization of all technological processes including the establishment of particular...
Dept.: ZOI
Duration: 2017
- 2019
Digital image acquisition is often accompanied with its degradation by noise, blur (out-of-focus, motion etc.), compression, etc. In many cases, the degradation process can be modeled by a linear relation g=Hu+n where g denotes the acquired image, u the original image, H the degradation operator, and n random noise. The goal of image reconstruction is to recover the original image based on the...
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