Recent Advances in 3D Reconstruction from Point Clouds

Ying He

Ying He is an Associate Professor in the College of Computing and Data Science at Nanyang Technological University, Singapore. His research interests focus on geometric computing and analysis, with applications in computer graphics and vision. He serves on the editorial boards of IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and Computational Visual Media, and has been an active member of the technical program committees for major conferences in geometric modeling. He has also served, or will serve, as General or Program Co-Chair for several conferences, including Shape Modeling International (2022), the Symposium on Solid and Physical Modeling (2022, 2023), Geometric Modeling and Processing (2014, 2021), Computational Visual Media (2020), and Pacific Graphics (2026).

Reconstructing 3D surfaces from point clouds is a fundamental problem in digital geometry processing and 3D vision. Among the various approaches, implicit function–based methods have become particularly popular for their ability to recover complex topologies and their robustness against noise. Poisson surface reconstruction and its variants remain among the most widely used techniques. Traditionally, these methods assume that input point clouds are equipped with globally consistent orientations, making point orientation a closely related and critical subproblem. Until recently, research in this area largely advanced along two separate directions: one focusing on estimating consistent normal orientations, and the other on reconstructing surfaces from oriented points. In this talk, I will present a series of recent projects that unify these two threads into a single, coherent framework that jointly addresses orientation estimation and surface reconstruction. I will conclude with a discussion of emerging trends and open challenges in this rapidly evolving field.

Prof. Wang Zhihui

December 19, 2025, Friday,

10:00am-12:00pm

B411 Lecture Hall,Shenzhen Loop Area Institute

(6 Hongmian Rd, Fubao Sub-Street, Futian District, Shenzhen, navigate to "Shenzhen Loop Area Institute (South Gate)" on the map.)

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