I.G. Kazantsev

Institute of Computational Mathematics and Mathematical Geophysics

Papers

Total Citations

H-Index

About

I.G. Kazantsev is a researcher focused on computer vision and robotics, with key contributions in image processing and robotic control systems. Their work on scalable masks for corner detection in digital images, published in 2020, introduces innovative matrices that adapt to arbitrary sizes by adding rows and columns to smaller templates, enhancing the efficiency of sliding-window image analysis. This paper has garnered 3 citations, reflecting its niche but growing impact in the field. In 2022, Kazantsev advanced robotics by developing new control algorithms for robotic arms equipped with 3D scanning or machine vision systems, a contribution that has earned 2 citations and demonstrates practical applications in automation and precision manufacturing. While citation counts are modest, these works highlight Kazantsev’s dedication to bridging theoretical image processing with real-world robotic systems, offering scalable solutions for corner structure detection and adaptive control. Their research is particularly valuable for students and engineers exploring efficient image analysis techniques and autonomous robotic manipulation, laying groundwork for future innovations in intelligent systems.