Computer Vision Systems Group

The Computer Vision Systems Group focuses its activities on advanced methods in computer vision and multimodal data analysis, developing algorithms that enable semantic image interpretation, integration of heterogeneous data sources (including satellite data, LiDAR, 3D imaging, and temporal data), as well as their processing and visualization in 2D and 3D environments. The research includes, among others, object detection and segmentation, registration of visual data, and the development of scalable machine learning models and decision support systems, supported by optimization methods and physics-inspired approaches. Particular emphasis is placed on applications in complex systems with high structural uncertainty, such as transport, environmental, and diagnostic systems (including biomedical applications).

An important element of the group’s activity is international collaboration. The team works with researchers from Halmstad University on AI models inspired by brain neuroplasticity, developed for continual and lifelong learning. Collaboration is also being developed with the University of Žilina, focusing on applications of optimization and machine learning methods (including computer vision) in real-world transport systems. Team members also collaborate with the Wigner Research Centre for Physics in Budapest in the field of advanced physics-inspired computational methods and optimization.

Among the group’s key achievements are the development of novel methods for multimodal data integration and analysis, as well as tools for 3D visualization. The team actively participates in international research projects, including the European Q-Fence project funded under the Horizon Europe program, within which post-quantum cryptographic methods are being developed to ensure secure processing and transmission of sensitive data (including medical, financial, and satellite data). The conducted work combines fundamental research with practical applications, particularly in the areas of data security, environmental analysis, and modern transport systems.

The Computer Vision Systems Group has existed since 1987. The group’s co-founder and long-time head was Dr. Eng. Ryszard Winiarczyk. The Computer Vision Systems Group is now led by Associate Professor Krzysztof Domino.