Zegang Luo

Papers

Total Citations

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About

Zegang Luo is a researcher whose work bridges computer graphics, geometry processing, and computational fabrication, with a particular focus on novel shape acquisition and reconstruction techniques. His most-cited paper, "Dip Transform for 3D Shape Reconstruction" (2017, 15 citations), introduces an elegant and physically grounded method that leverages Archimedes’ principle—measuring fluid displacement as an object is dipped in liquid from multiple orientations—to reconstruct three-dimensional shapes. This innovative approach offers a low-cost, high-accuracy alternative to traditional laser scanning or photogrammetry, opening new possibilities for digitizing complex or delicate objects. Luo’s contributions demonstrate a creative synthesis of classical physics and modern computational geometry, providing a practical tool for fields ranging from cultural heritage preservation to reverse engineering. Though his citation count is modest, the conceptual novelty of his work has drawn interest from researchers exploring non-traditional sensing modalities. His research exemplifies how foundational scientific principles can inspire transformative techniques in digital shape capture, making him a notable figure in the ongoing evolution of 3D reconstruction technology.