SMA Fellows 20241 Jorg Peters, 2024 SMA Fellow
Jorg Peters has made significant contributions to the field of geometric modeling, particularly in the areas of smooth surface algorithms and subdivision surfaces. His key research contributions include:
Smooth Surface Algorithms
Jorg Peters has worked extensively on smooth surface algorithms that ensure good shape and low degree, including the development of the Bi-3 spline and T-junction multi-sided surfaces. His collaboration with Kestutis Karciauskas led to advances in generalizing bicubic splines for irregular layouts, as highlighted in their 2015 SPM Best Paper.
Subdivision Surfaces
Jorg Peters also focused on subdivision surfaces, developing the concept of nested surface rings and spline surfaces with singularities. His work with Udo Reif and Kestutis Karciauskas on polyhedral splines has advanced the field, providing new methods for surface representation.
Lower Bound Proofs
In his early research, Jorg Peters contributed lower bound proofs for geometric constraints on curve networks, which are essential for smooth interpolation. His 2011 paper on smooth Bi-3 spline surfaces with minimal knots remains influential in the field.
Jorg Peters has chaired multiple conferences, including SPM, and has contributed to advancing geometric modeling through his work with polyhedral control nets and fast-contracting splines.
2 Ying He, 2024 SMA Fellow
Ying He’s work spans geometric modeling, digital geometry processing, 3D vision and 3D deep learning. His work focuses on problems that require geometric analysis and computation, with notable contributions in discrete geodesics and 3D reconstruction.
Discrete Geodesics
He has developed graph-based methods, including saddle vertex graphs and later discrete geodesic graphs, which helped change the way people think about shortest-path computation on surfaces. His work shows that although geodesic computation is inherently global, it can be handled efficiently by exploiting local geometric structures. This leads to representations that support fast and scalable queries.
3D Reconstruction
He has also made significant contributions to 3D reconstruction from raw or unoriented point clouds. His work on iterative Poisson surface reconstruction (iPSR) reframes orientation and reconstruction as a coupled inference problem rather than a brittle two-stage pipeline. This formulation improves robustness and provides a more unified view of the reconstruction process.
