Xiuqin Han

Papers

Total Citations

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About

Dr. Xiuqin Han is a researcher specializing in 3D computer vision and point cloud processing, with a particular focus on improving registration algorithms for real-world applications. Her most cited work, "An Improved ICP Algorithm for 3D Point Cloud Registration" (2022, 10 citations), addresses a fundamental challenge in 3D reconstruction and robot navigation by enhancing the Iterative Closest Point (ICP) algorithm. Dr. Han's contribution lies in refining the matching of corresponding points between point clouds, a critical step for accurate rigid registration. This improvement has implications for autonomous systems, where precise spatial alignment is essential. Although her citation count is still growing, her work demonstrates a clear impact in the field of geometric data processing. Dr. Han's research bridges theoretical algorithm development and practical deployment, making her a promising voice in the advancement of 3D sensing technologies.