Rongtong Jin

Guilin University of Electronic Technology

Papers

Total Citations

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About

Rongtong Jin is a researcher specializing in computer vision, 3D reconstruction, and sensor calibration. Their work focuses on advancing the precision and efficiency of structured light scanning systems, particularly through the integration of hand-eye parameter estimation and line-structured light calibration. In their most-cited paper, "Hand-eye parameter estimation and line-structured light scanning calibration within a unified framework" (2024), Jin proposes a novel approach that consolidates these traditionally separate calibration steps into a single, cohesive framework. This contribution simplifies the calibration process while enhancing accuracy, addressing a critical bottleneck in robotic vision and industrial inspection. With 6 citations in its early publication stage, this work signals growing recognition of Jin's innovative methodology. Their research holds promise for applications in autonomous navigation, manufacturing quality control, and 3D modeling, where precise sensor alignment is essential. Jin's ability to unify complex calibration tasks demonstrates a forward-thinking approach that reduces computational overhead and improves system reliability. As the field of 3D vision continues to expand, Jin's contributions are poised to influence both academic research and practical engineering solutions.