Chengbin Huang

Papers

Total Citations

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About

Chengbin Huang is a researcher whose work centers on computer vision, particularly the calibration and correction of wide-angle imaging systems. His most notable contribution is an improved method for fisheye camera calibration and distortion correction, published in 2016 and cited 14 times. This work addresses a critical challenge in robot vision: while fisheye cameras offer a broad field of view essential for navigation and scene understanding, their severe radial distortion limits practical application. Huang’s proposed technique enhances calibration accuracy and distortion correction, making these cameras more viable for real-world robotic systems. By tackling a fundamental preprocessing step, his research supports downstream tasks like mapping, obstacle detection, and 3D reconstruction. Though his citation count is modest, the targeted impact of his work on a niche but important problem underscores his contribution to advancing practical computer vision tools for autonomous systems.