Papers
1
Total Citations
3
H-Index
1
About
Lichun Gu is a researcher in computational geometry and surface modeling, with a particular focus on subdivision algorithms for micro-scale surface representation. Their most notable contribution is the development of an improved algorithm based on √3 subdivision, which enhances the efficiency and accuracy of modeling complex micro-surface geometries. This work, published in 2019, has garnered 3 citations, reflecting its niche but meaningful impact in the field of computer-aided design and geometric modeling. Gu’s approach addresses critical challenges in balancing computational cost with surface smoothness, offering practical solutions for applications in micro-manufacturing and digital surface reconstruction. While their citation count is modest, the work demonstrates a careful refinement of established techniques, contributing to the ongoing evolution of subdivision surfaces. Gu’s research is particularly valuable for students and engineers seeking robust methods for high-precision surface modeling, where traditional algorithms may fall short. Their dedication to algorithmic improvement underscores a commitment to advancing the foundational tools of geometric computing.
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Top Papers
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