Papers
1
Total Citations
6
H-Index
1
About
Yunxin Gong is a researcher specializing in 3D point cloud processing, laser scanning, and multi-view registration techniques. Their most notable contribution to date is the development of a circular marker-aided multi-view laser point cloud registration method based on adaptive-weighted bundle adjustment, published in 2024. This work addresses critical challenges in aligning multiple laser scans by introducing a robust framework that leverages circular markers for initial correspondence and an adaptive weighting scheme to refine registration accuracy through bundle adjustment. The approach enhances the reliability of point cloud integration in complex environments, with applications in surveying, autonomous navigation, and cultural heritage documentation. Although early in their career, Gong’s work has already garnered 6 citations, signaling growing recognition in the geospatial and computer vision communities. Their research bridges practical engineering needs with algorithmic innovation, offering a scalable solution for high-precision 3D reconstruction. As Gong continues to explore advanced optimization techniques for multi-sensor data fusion, their contributions are poised to influence both academic research and industrial deployment of laser scanning systems.
Research Focus
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Top Papers
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