Gheorghe-Leonte Mogan
Papers
1
Total Citations
3
H-Index
1
About
Gheorghe-Leonte Mogan is a researcher specializing in computer vision, robotics, and intelligent systems, with a focus on real-time object detection and recognition for automated handling applications. His most-cited work, "Real-Time Object Detection and Recognition System Using OpenCV via SURF Algorithm in Emgu CV for Robotic Handling in Libraries" (2017), presents an experimental system integrating the SURF algorithm with OpenCV and Emgu CV to enable live object tracking and recognition from webcam-captured video frames. This contribution addresses practical challenges in robotic manipulation within library environments, demonstrating how computer vision can enhance automation in structured settings. While his citation count is modest at 3, the work underscores his commitment to bridging theoretical algorithms with tangible, real-world robotic systems. Mogan’s research aligns with broader efforts to improve efficiency in automated handling tasks, and his integration of open-source tools like OpenCV highlights a pragmatic approach to advancing robotics. His efforts contribute to the growing field of vision-guided robotics, offering a foundation for future developments in intelligent library automation and beyond.
Research Focus
Key Achievements
Top Papers
- 1