Bailin Deng

Papers

Total Citations

321

H-Index

About

Bailin Deng is a leading researcher in geometry processing and 3D computer vision, whose work has significantly advanced the robustness and efficiency of core algorithms for shape registration and reconstruction. His most impactful contribution is the development of a fast and robust variant of the Iterative Closest Point (ICP) algorithm, published in 2021 and cited over 320 times. This work directly addresses two long-standing limitations of ICP—its slow convergence and sensitivity to outliers—by introducing a novel optimization framework that dramatically improves both speed and reliability for rigid point set alignment. The algorithm has become a critical tool in fields ranging from robotics to 3D scanning. Beyond this landmark paper, Deng’s research spans surface parameterization, mesh deformation, and digital geometry processing, consistently focusing on practical, computationally efficient solutions. His work is widely recognized for bridging theoretical rigor with real-world applicability, making him a key figure in modern geometry processing and a valuable reference for students and researchers working on 3D data analysis and reconstruction.