Advancing 3D Geometry Processing through Geometric Prior

Par

Jing Ren

École polytechnique fédérale de Zurich

Vendredi 21 mars 2025, 10:30-11:30 EST, Salle 6214

Pavillon André-Aisenstadt, Université de Montréal, 2920 Chemin de la Tour

Abstract: In the realm of 3D geometry processing, geometric priors serve as foundational constraints that are essential for shape modeling, analysis, and manipulation. However, formulating these priors is highly application-dependent, requiring domain-specific knowledge and expertise. This presentation explores techniques for formulating geometric priors across diverse tasks including shape matching, urban reconstruction, and digital fabrication. Specifically, in the context of shape matching—where the goal is to establish accurate correspondences between shapes undergoing non-isometric deformation—geometric priors play a crucial role. They help define criteria for high-quality mappings, resolve ambiguities arising from shape symmetries, and guide the optimization process to identify optimal correspondences. Additionally, encoding planarity as a geometric prior can significantly enhance the task of 3D roof modeling, enabling efficient and intuitive modeling and reconstruction. Similarly, incorporating structural information from stitching as a geometric prior can contribute to the simulation of intricate embroidered folds, paving the way for interactive design in digital fabrication processes. In this talk, I will discuss the formulation of various geometric priors and demonstrate how they enhance modeling and optimization across different applications in geometry processing.

Bio: Jing Ren is currently a senior researcher in the Interactive Geometry Lab, ETH Zurich, advised by Prof. Olga Sorkine-Hornung. She obtained her Ph.D. degree in 2021 from the Visual Computing Center, KAUST, supervised by Prof. Peter Wonka and Prof. Maks Ovsjanikov. Before that, she obtained the M.Sc. degree from Oxford University, and the B.Sc. degree from Zhejiang University. Her research focuses on shape analysis, geometry processing and digital fabrication, currently with a strong emphasis on bridging theoretical advancements with practical applications in design and manufacturing.