Wen Guo Li

Kunming University of Science and Technology

Papers

Total Citations

H-Index

About

Wen Guo Li is a researcher in robotics and computer vision, with a primary focus on camera calibration techniques for robotic systems. His most cited work, "Monocular Camera Calibration Method for Robot System" (2015), presents a practical approach to calibrating single-camera setups using a 2D plane circular array. The method employs Canny edge detection to extract elliptical features and fits them to determine precise center coordinates, enabling accurate spatial perception for robots. While his citation count remains modest at 2, this contribution addresses a fundamental challenge in robot vision—achieving reliable calibration without complex multi-camera rigs. Li’s work is particularly relevant for applications in autonomous navigation, industrial automation, and 3D reconstruction, where precise camera parameters are critical. By simplifying the calibration process through planar patterns, he has provided a cost-effective solution for researchers and engineers developing vision-guided robotic systems. His research underscores the importance of robust geometric calibration as a foundation for higher-level perception tasks, making his methodology a useful reference for those entering the field of robot vision.