V. A. Krutov
Papers
1
Total Citations
3
H-Index
1
About
V. A. Krutov is a researcher whose work centers on computer vision, image processing, and the mathematical foundations of visual identification systems. His key contributions lie in applying cubic normalized B-splines to the challenge of television image identification, a problem critical for autonomous robots and technical vision systems operating under complex, interference-heavy conditions. His most cited paper, "Television images identification in the vision system basis on the mathematical apparatus of cubic normalized B-splines" (2017), has garnered 3 citations and addresses the need for robust image analysis when observational factors degrade quality. This work supports the development of autonomous systems in industrial settings, where reliable visual recognition is essential. Krutov’s research is notable for its practical orientation, bridging advanced mathematical tools with real-world engineering applications. While his citation count is modest, his focus on resilient image identification contributes to the broader field of vision-based automation, offering methods that enhance system performance in challenging environments.
Research Focus
Key Achievements
Top Papers
- 1