Dmitry A. Bezuglov

Papers

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About

Dmitry A. Bezuglov is a researcher specializing in computer vision, autonomous robotics, and image processing, with a focus on enhancing machine perception in complex environments. His major contributions lie in developing robust methods for multimodal image analysis and 3-D scene reconstruction, particularly for robot navigation. In his most-cited work, "Multimodal image inpainting for an autonomous robot navigation application" (2021, 10 citations), Bezuglov introduces an automated pipeline to address missing holes in depth maps that arise during 3-D recovery from multi-view images—a critical challenge for autonomous systems operating in real-world settings. This work demonstrates his ability to integrate image inpainting with navigation tasks, improving information extraction for robotic decision-making. Additionally, his research on "Television images identification in the vision system basis on the mathematical apparatus of cubic normalized B-splines" (2017, 3 citations) advances technical vision systems by tackling image identification under interfering factors like noise or occlusion, using spline-based mathematical models. Bezuglov’s contributions are particularly relevant for industries relying on autonomous robots and technical vision, where reliable scene understanding is paramount. His work bridges theoretical image processing with practical applications, making him a notable figure in the field of intelligent robotics and computer vision.