Mateusz Kopytek
Papers
1
Total Citations
3
H-Index
1
About
Mateusz Kopytek is a researcher whose work lies at the intersection of computer vision, robotics, and image processing. His key contributions focus on advancing the quality assessment of stitched images—a critical task for applications ranging from panoramic photography to autonomous navigation. In his most cited work, "Improved Combined Metric for Automatic Quality Assessment of Stitched Images" (2022), Kopytek developed a novel metric that automatically evaluates the seamlessness and fidelity of image mosaics. This contribution is particularly vital for mobile robots and drones engaged in terrain exploration and mapping, where reliable visual data is essential for simultaneous localization and mapping (SLAM). By improving the automated detection of stitching artifacts, his research enhances the robustness of visual systems in unstructured environments. With 3 citations, this work has already begun to influence the field, demonstrating its relevance to both academic researchers and practitioners in robotics and computer vision. Kopytek’s achievements underscore his commitment to solving practical challenges in autonomous systems, making his research a valuable resource for students and engineers working on real-world perception and mapping tasks.
Research Focus
Key Achievements
Top Papers
- 1